GsoC - 2011 - Porting GIMP plugins to GEGL operations
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GsoC - 2011 - Porting GIMP plugins to GEGL operations
Hello,
I am Robert Sasu and I wrote an e-mail in the morning about the application
for the Adaptive Image Cloning. Since then I've spoken with mentors on IRC,
and they said that this project is no more available. I was also recommended
to look at Porting GIMP plugins to GEGL.
As I wrote in my last e-mail I have strong C/C++ and algorithms background
and I have done some image processing/filtering projects.
I've also compiled GIMP from GIT with all the libraries and dependencies. I
also looked over the coding style and started to familiarize with the code
in GEGL and GIMP.
I propose simply to rewrite GIMP plugins in gegl operations as there are
many predefined functions, and the implementation is not so hard.
How important do you find this project, compared with others for this years
GSoC?
I would like to know which are the plugins I should start to look at and
port to GEGL. I would also ask for some specific information about this
project. How did you imagine the porting: by rewriting the entire code for
every plugins doing some adaptation to the logic?
Thank you, Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
I've read the e-mails about this project from the mailing list and I found
actually what I have to do. I also looked at the source code and the
differences between gimp and gegl implementation. If it is possible I would
like a short list of plugins to look at, which are needed to be implemented
?
And again: how important do you find this project compared to others for
this years GSoC?
Thank you,
Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
Robert Sasu wrote:
I am Robert Sasu and I wrote an e-mail in the morning about the application for the Adaptive Image Cloning. Since then I've spoken with mentors on IRC, and they said that this project is no more available.
I don't know who told you that or why but Adaptive Image Cloning (aka Seamless Cloning) is on the list of possible GSoC projects for this year. The student application period doesn't open until the 28th of this month so all projects are up for grabs at this point.
GsoC - 2011 - Porting GIMP plugins to GEGL operations
On 3/23/11, Kevin Cozens wrote:
Robert Sasu wrote:
I am Robert Sasu and I wrote an e-mail in the morning about the application
for the Adaptive Image Cloning. Since then I've spoken with mentors on IRC,
and they said that this project is no more available.I don't know who told you that
mitch and Alexia
or why
The agreement was not to introduce new tools based on old core, and GEGL based tool here means underlying GEGL painting infrastructure which is simply not ready yet.
Alexandre Prokoudine http://libregraphicsworld.org
GsoC - 2011 - Porting GIMP plugins to GEGL operations
On Tue, Mar 22, 2011 at 10:07 PM, Robert Sasu wrote:
I've read the e-mails about this project from the mailing list and I found actually what I have to do. I also looked at the source code and the differences between gimp and gegl implementation. If it is possible I would like a short list of plugins to look at, which are needed to be implemented ?
We sort of expect you to come with your own plan :) So make a list of things you find interesting and show it off at IRC.
And again: how important do you find this project compared to others for this years GSoC?
Importance really hasn't been assigned to tasks. There are couple of projects that if right people pick them up, would probably get preference in slot selection, however you would most likely compete against established contributors on them, so odds of getting a slot would be low.
Kevin, cloning was kicked, because welding pixel manipulation code on old paint core is not a good idea, new pixel manipulation should go in gegl and we simply dont have the infrastructure to use that in paint core yet.
GsoC - 2011 - Porting GIMP plugins to GEGL operations
Alexandre Prokoudine wrote:
The agreement was not to introduce new tools based on old core, and GEGL based tool here means underlying GEGL painting infrastructure which is simply not ready yet.
Ok. The wiki page says it is for this years GSoC. On my machine the "Recommended" and "For a later GSoC" headings get lost when you are scrolling down the page as they are appear in a thin regular type face compared to the nice bold fonts used to show project ideas. The ideas for a future GSoC should be moved to a separate page.
GsoC - 2011 - Porting GIMP plugins to GEGL operations
Hi,
On Wed, Mar 23, 2011 at 8:32 AM, Alexia Death wrote:
Kevin, cloning was kicked, because welding pixel manipulation code on old paint core is not a good idea, new pixel manipulation should go in gegl and we simply dont have the infrastructure to use that in paint core yet.
The name "cloning" is misleading - this tool has nothing to do with
regular paint tools. if it reminds anything by interaction, it's the
cage tool - you select a shape, move it around (hopefully with a live
preview of what will happen if you drop it there) and then release
when satisfied.
Please see the demo video if you want to see what I mean - it's on the
article page.
I'm restoring this idea to the wiki's recommended list.
~LightningIsMyName
GsoC - 2011 - Porting GIMP plugins to GEGL operations
On Thu, Mar 24, 2011 at 1:06 AM, LightningIsMyName wrote:
The name "cloning" is misleading - this tool has nothing to do with regular paint tools. if it reminds anything by interaction, it's the cage tool - you select a shape, move it around (hopefully with a live preview of what will happen if you drop it there) and then release when satisfied.
Please see the demo video if you want to see what I mean - it's on the article page.I'm restoring this idea to the wiki's recommended list.
Hmm, ok, this is different. It seems this was universally assumed to be an enhancement on top of existing clone tool.
GsoC - 2011 - Porting GIMP plugins to GEGL operations
The best way to think of this, I believe, is as an enhancement of copy-and-paste. We are all familiar with the problem that if you make your selection large enough to include all of an object, you often get a fringe of unwanted colors. If you make the selection small enough to lose the fringe, the object gets unnatural-looking edges. It ought to be possible to use the healing concept to make a copy that suppresses the fringe -- it could never work perfectly, but would be good enough to be very useful. It makes more sense, to me, to first work this out in the context of copy-and-paste before extending it to tools, which bring in a lot of extra machinery.
-- Bill
GSoC 2011 Porting GIMP plugins to GEGL operations
Hi,
I am a 2nd year student of the department of Computer Science and
Engineering at Indian Institute of Technology, Kharagpur ,and I am
interested in the plugin for cartoonization of an image in GIMP.
I have begun to use GIMP some years ago for image editing in ubuntu os
(as a substitute of photoshop ), but I’m currently using it for my project
on algorithmic art, so this would be a huge opportunity to be able to
participate in GSoC.
So for the algorithm to implement this plugin, i thought that we need to
do this in a step by step manner, like first blur the image to remove noise
from it, then improve the clearness of the outline with some threshold,
detect the main outlines and then finally fill the regions inside those main
borders by picking up an suitable color by comparing it with the original
image.
As per as the current cartoonization plugin of the Gimp is concerned,the
mask radius option can be used to determine the degree of the blurriness,
and the percentage black option as to choose the value of upper and lower
threshold. Besides there should be options like choosing the scale of the
transformation user want to use to cartoonize an image, etc.
Sourav De 2nd Year Student Department of Computer Science and Engineering IIT KHARAGPUR
GSoC 2011 Porting GIMP plugins to GEGL operations
Hi Sourav
On Tue, Mar 29, 2011 at 12:36:04AM +0530, sourav de wrote:
Hi,
I am a 2nd year student of the department of Computer Science and Engineering at Indian Institute of Technology, Kharagpur ,and I am interested in the plugin for cartoonization of an image in GIMP.
I gather you want to modify the cartoon plug-in in GIMP?
The plug-in porting task that you have mentioned in the subject is to directly port GIMP plug-ins to GEGL ops. No modification of functionality is necessary. It is described here:
It is not a task of porting only 1 plug-in, but about 6-10 plug-ins per student. 1 plug-in is a very easy task and will not be sufficiently long for a full summer's work.
To apply for this task, please present the items mentioned on the linked wiki page.
----
However, if you wish to modify the cartoon plug-in, that sounds interesting too. It can be a different task. Can you describe what is lacking in the current approach in the GIMP plug-in? What is the algorithm that you plan to use ? You say you are doing a project on algorithmic art.. have you published anything on the methods you wish to use in this cartoon plug-in? Are you using any other published works?
Note that we _may_ accomodate more tasks if they are of a high quality and we are satisfied with how the student presents it.
Mukund
GSoC 2011 Porting GIMP plugins to GEGL operations
On Tue, Mar 29, 2011 at 4:11 AM, Mukund Sivaraman wrote:
Hi Sourav
On Tue, Mar 29, 2011 at 12:36:04AM +0530, sourav de wrote:
Hi,
I am a 2nd year student of the department of Computer Science and Engineering at Indian Institute of Technology, Kharagpur ,and I am interested in the plugin for cartoonization of an image in GIMP.
I gather you want to modify the cartoon plug-in in GIMP?
The plug-in porting task that you have mentioned in the subject is to directly port GIMP plug-ins to GEGL ops. No modification of functionality is necessary. It is described here:
It is not a task of porting only 1 plug-in, but about 6-10 plug-ins per student. 1 plug-in is a very easy task and will not be sufficiently long for a full summer's work.
To apply for this task, please present the items mentioned on the linked wiki page.
----
However, if you wish to modify the cartoon plug-in, that sounds interesting too. It can be a different task. Can you describe what is lacking in the current approach in the GIMP plug-in? What is the algorithm that you plan to use ? You say you are doing a project on algorithmic art.. have you published anything on the methods you wish to use in this cartoon plug-in? Are you using any other published works?
Note that we _may_ accomodate more tasks if they are of a high quality and we are satisfied with how the student presents it.
Mukund
Thank you sir, for your comments, I'll come up with the presentation of
those plug-ins mentioned in the wiki page and algorithm for the
cartoonization plug-in soon.
And for the project on algorithmic art, I took this project in my
current semester, I'll have to take the course Computer Graphics in my next
semester to complete the project. So far I haven't yet publish any paper.
GSoC 2011 Porting GIMP plugins to GEGL operations
On Tue, Mar 29, 2011 at 1:15 PM, sourav de wrote:
On Tue, Mar 29, 2011 at 4:11 AM, Mukund Sivaraman wrote:
Hi Sourav
On Tue, Mar 29, 2011 at 12:36:04AM +0530, sourav de wrote:
Hi,
I am a 2nd year student of the department of Computer Science and Engineering at Indian Institute of Technology, Kharagpur ,and I am interested in the plugin for cartoonization of an image in GIMP.
I gather you want to modify the cartoon plug-in in GIMP?
The plug-in porting task that you have mentioned in the subject is to directly port GIMP plug-ins to GEGL ops. No modification of functionality is necessary. It is described here:
It is not a task of porting only 1 plug-in, but about 6-10 plug-ins per student. 1 plug-in is a very easy task and will not be sufficiently long for a full summer's work.
To apply for this task, please present the items mentioned on the linked wiki page.
----
However, if you wish to modify the cartoon plug-in, that sounds interesting too. It can be a different task. Can you describe what is lacking in the current approach in the GIMP plug-in? What is the algorithm that you plan to use ? You say you are doing a project on algorithmic art.. have you published anything on the methods you wish to use in this cartoon plug-in? Are you using any other published works?
Note that we _may_ accomodate more tasks if they are of a high quality and we are satisfied with how the student presents it.
Mukund
Thank you sir, for your comments, I'll come up with the presentation of those plug-ins mentioned in the wiki page and algorithm for the cartoonization plug-in soon.
And for the project on algorithmic art, I took this project in my current semester, I'll have to take the course Computer Graphics in my next semester to complete the project. So far I haven't yet publish any paper.-- Sourav De
2nd Year Student
Department of Computer Science and Engineering IIT KHARAGPUR
I wrote the code review for gaussian blur as it given here
http://git.gnome.org/browse/gegl/tree/operations/common/gaussian-blur.c
But I'm not familiar with writing code review and algorithmic description. Here goes my code review.
Gaussian blur operation code review:
1. function-1 : static void iir_young_find_constants (gfloat sigma,gdouble *B,gdouble *b)
a. the variable sigma is to avoid unexpected ringing at tile boundaries of
an image.
b. there exists a variable q, whose value must be remained in between 0 -
1.5, and according to the value of sigma there are two procedures to
calculate the value of q.
c. lastly it sets the value of the variables b[0] to b[3] and B, and then
returns.
2. function-2 : static inline void iir_young_blur_1D (gfloat * buf,gint offset,gint delta_offset,gdouble B,gdouble *b,gfloat * w,gint w_len)
a. this function blurrifies an image one dimensionally.
b. wlen is the length of the 1d array w passed.
c. here an image would be blurrified in two steps, applying forward and
backward filter for each pixel, a local variable wcount counts the number of
pixels each time.
d. the filter would be applied to the image according to the passed array w.
3. function-3 : static void iir_young_hor_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect,gdouble B,gdouble *b)
a. this function blurrifies an image horizontally.
b. first it creates an one dimensional array buf whose length is
height*width*4, where height and width is height and width of the source
image rectangle.
c. then it creates another one dimensional array w with the length of the
width of the source image.
d. after then it fills the values of buf array according to the source image
in RaGaBaA format.
e. then it applies the iir_young_blur_1D function to the newly generated
ractangles.
f. lastly it stores the change in a destination array and returns.
4. function-4 : static void iir_young_ver_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect,gdouble B, gdouble *b)
a. this function blurrifies an image vertically.
b. first it creates an one dimensional array buf whose length is
height*width*4, where height and width is height and width of the source
image rectangle.
c. then it creates another one dimensional array w with the length of the
height of the source image.
d. after then it fills the values of buf array according to the source image
in RaGaBaA format.
e. then it applies the iir_young_blur_1D function to the newly generated
ractangles.
f. lastly it stores the change in a destination array and returns.
5. function-5 : static gint fir_calc_convolve_matrix_length (gdouble sigma)
a. depending upon the value of sigma it returns an integer which partially determines the width and height of the convolution matrix for image transformation.
6. function-6 : static gint fir_gen_convolve_matrix (gdouble sigma,gdouble **cmatrix_p)
a. first it sets the value of matrix-length by calling fir_calc_convolve_matrix_length function with sigma passed as a variable. b. then it creates the convolution matrix. c. finally it completes the whole convolution matrix by certain calculation, copies it to the cmatrix_p, and returns matrix_length.
7. function-7 : static inline float fir_get_mean_component_1D (gfloat * buf,gint offset,gint delta_offset,gdouble * cmatrix,gint matrix_length)
a. it returns the mean of the 1d array buf created previously,
8. function-8 : static void fir_hor_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect, gdouble *cmatrix,gint matrix_length,gint xoff)
a. this function also blurrifies an image horizontally, by creating a buffered array,but it blurrifies with a rectangle of given width and height, and offsets between source and destination array according to the value of xoff and radius.
9. function-9 : static void fir_ver_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect, gdouble *cmatrix,gint matrix_length,gint off)
a. this function also blurrifies an image verically, by creating a buffered array,but it blurrifies with a rectangle of given width and height, and offsets between source and destination array according to the value of yoff and radius.
Can anyone please help me with writing code review of a given code, by telling me whether it's a proper way to write code review or not?
GsoC - 2011 - Porting GIMP plugins to GEGL operations
My background:
I am a 1st year student of the department of Computer Science and
Engineering at Polytehnical University of Bucharest. I have started to use
GIMP 2 years ago. I wrote emboss, blur and sharpen tools in C and then in
Octave. I wrote a program which converts images from Targa(for RGB images
with colour map or without) to PPM(type 3) and back.
I would also suggest to generalize the emboss plug-in by using some operators such as: Sobel, Robert Cross, Prewitt, Scharr or Costella. In case of Sobel operator we can set 3 types of normalizing (gradient x,y or magnitude) all 3 making some new effects.
Code review and algorithm description (GIMP plug-ins):
1. Cubism
Function cubism: Initializes the values of alpha and image type, and fills
the image with the background colour, which we get from the drawable
image(current image). After calculating the number of tiles of the asked
rectangle the function randoms the indices and initiates the first
rectangle. For each tile the starting point (x,y),height and with is
randomed between certain limits, depending on the tile saturation and tile
size set by the user. The rotation grad is also randomed. Then for each
polygon it adds the calculated points to the structure for creating the
double perspective, rotates and translates it by adding the starting
points(x,y). It checks if the calculated point is between minimum and
maximum and gets the closest value (CLAMP), and gets the pixel color from
the source. Finally it fills with color the drawable image in the pixels
within the polygon.
fill_poly_color: The colour of a pixel will be calculated by looking at the
backgroung image and the intersection of the polygons.
Firstly calculates the distance between the 2 points of the polygon and
initiates values of vector. By polygon_extent we get the minimum and maximum
position of the pixels. It initiates the the values of the lines which need
to be scanned and for every 2 points in the polynom it calculates the
minimum and maximum of the segment.
For every pixel in the polygon it calculates the colour which will be equal
with the color from the source image which is in the position (x,y). x is
equal with ((size_x-1)/4+min_x. In vals the function keeps if that row was
reached or not. The alpha value of the pixel color is between 0.1 and 0.2,
caculated by the distance between the points in the polygon. Every value we
get from buf which will be equal with the color of the coloumn plus the
color from the position (x,y).
2. Fractal trace
Initialization: source pixel table(guchar **) gets the color values of the
current picture for every column. Destination pixel table gets allocated
memory.
Pixel get: In function of the image type the asked pixel gets the values
from source pixel table for RGBA.
Pixel set: The color of a certain (position c,y) is uploaded to destination
pixel table considering also the image type.
Pixel get biliner: Calculates the values of the colors for the asked pixel,
making median of its neighbour. The alpha value is accumulated, for the
other values after accumulating the color*alpha it divides with the
acumulated alpha.
Mandelbrot: While the iteration number is smaller then it calculates the
position of the pixels with the quadratic polynomial. The new pixel position
will be the values calculated on the last iteration.
Filter: For each pixel in the given rectangle the function calculates its
colour value. First it calculates a position of the asked pixel by the
parameters, then iterates it with the mandelbrot function. If the iterated
pixel position is in within the image then its color value is calculated.
Else if the position escaped to infinite then in function of the Outside
type it calculates its value. In case of WRAP the color of the pixel will be
equal with the pixel being at the position (px-px/width,py-py/height).
At last it saves the value of the color in destination pixel table.
It is written almost the same thing for the dialog-preview, the setpixel
function is differing because it considers every picture to be type RGBA.
Possible optimization:
If the given point lies within the cardioid or in the period-2 buld we can
calculate its color without appealing the mandelbrot function, without
iterating, because it will never escape to infinite. Just have to verify
that: q(q+(x-1/4))
3. Plasma
The scientific name would be random midpoint displacemant. For a given
rectangle the function divides it in 4 smaller one calculating the values of
each pixel by median.
Plasma: After initialization and random if the asked rectangle is not a
single pixel then it puts a seed pixel in the corners and in the center.
After that, while the size of the rectangle is not 1 it recurse through the
pixels going in further depths.
do_plasma: Calculates the mid-point of the rectangle and in case of depht=-1
(first case) randoms the color values for the corners and the middle of the
image.
If depth is 0 (in case the rectangle has less then 4 pixels) for every case
we get the pixel values from the current image, average it and adds a new
random value for each alpha.
Else it calls the function recursively for the 4 divided rectangles.
This can also be written using for example a perlin noise function and calculating for each component of c sin(f(x,y)*frequency(c)).
Code review and algorithm descrition(GEGL op):
1. Gaussian-blur:
Algorithm: After calculating the Gaussian matrix with the known function for
a certain radius, we ortonormalize it by dividen each element with the sum
of all elements. Then apply this to the image and calculating the value of
each pixel with weighted median.
Using Gaussian linearly separable property we can divide the process into 2
passes. First a vector is used to blur the image in horizontal or vertical
direction, then another vector is used to blur the image for the remaining
direction.
Area Filter base class is used because the color value of every pixel is
calculated with the help of the surrounding pixels (from the pixels of a
certain area).
fir_gen_convolve_matrix calculates the Gaussian matrix for a certain radius, and depending on the offset (x or y) fir_ver_blur or fir_hor_blur calculates the value of each color byte for each color with weighted median. iir_young_hor_blur (or ver) calculates the values of each new pixel by calculating for each row (column) its new values. The colour vector blur stores the calculated color values off the pixels, calculated by weighted media (vector b is the weight of a color, buf stores the original color of the pixel).
If there is some problem with code review or anything else please write it and I will correct it.
Thanks, Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
My background:
I am a 1st year student of the department of Computer Science and
Engineering at Polytehnical University of Bucharest. I have started to use
GIMP 2 years ago. I wrote emboss, blur and sharpen tools in C and then in
Octave. I wrote a program which converts images from Targa(for RGB images
with colour map or without) to PPM(type 3) and back.
I would also suggest to generalize the emboss plug-in by using some operators such as: Sobel, Robert Cross, Prewitt, Scharr or Costella. In case of Sobel operator we can set 3 types of normalizing (gradient x,y or magnitude) all 3 making some new effects.
Code review and algorithm description (GIMP plug-ins):
1. Cubism
Function cubism: Initializes the values of alpha and image type, and fills
the image with the background colour, which we get from the drawable
image(current image). After calculating the number of tiles of the asked
rectangle the function randoms the indices and initiates the first
rectangle. For each tile the starting point (x,y),height and with is
randomed between certain limits, depending on the tile saturation and tile
size set by the user. The rotation grad is also randomed. Then for each
polygon it adds the calculated points to the structure for creating the
double perspective, rotates and translates it by adding the starting
points(x,y). It checks if the calculated point is between minimum and
maximum and gets the closest value (CLAMP), and gets the pixel color from
the source. Finally it fills with color the drawable image in the pixels
within the polygon.
fill_poly_color: The colour of a pixel will be calculated by looking at the
backgroung image and the intersection of the polygons.
Firstly calculates the distance between the 2 points of the polygon and
initiates values of vector. By polygon_extent we get the minimum and maximum
position of the pixels. It initiates the the values of the lines which need
to be scanned and for every 2 points in the polynom it calculates the
minimum and maximum of the segment.
For every pixel in the polygon it calculates the colour which will be equal
with the color from the source image which is in the position (x,y). x is
equal with ((size_x-1)/4+min_x. In vals the function keeps if that row was
reached or not. The alpha value of the pixel color is between 0.1 and 0.2,
caculated by the distance between the points in the polygon. Every value we
get from buf which will be equal with the color of the coloumn plus the
color from the position (x,y).
2. Fractal trace
Initialization: source pixel table(guchar **) gets the color values of the
current picture for every column. Destination pixel table gets allocated
memory.
Pixel get: In function of the image type the asked pixel gets the values
from source pixel table for RGBA.
Pixel set: The color of a certain (position c,y) is uploaded to destination
pixel table considering also the image type.
Pixel get biliner: Calculates the values of the colors for the asked pixel,
making median of its neighbour. The alpha value is accumulated, for the
other values after accumulating the color*alpha it divides with the
acumulated alpha.
Mandelbrot: While the iteration number is smaller then it calculates the
position of the pixels with the quadratic polynomial. The new pixel position
will be the values calculated on the last iteration.
Filter: For each pixel in the given rectangle the function calculates its
colour value. First it calculates a position of the asked pixel by the
parameters, then iterates it with the mandelbrot function. If the iterated
pixel position is in within the image then its color value is calculated.
Else if the position escaped to infinite then in function of the Outside
type it calculates its value. In case of WRAP the color of the pixel will be
equal with the pixel being at the position (px-px/width,py-py/height).
At last it saves the value of the color in destination pixel table.
It is written almost the same thing for the dialog-preview, the setpixel
function is differing because it considers every picture to be type RGBA.
Possible optimization:
If the given point lies within the cardioid or in the period-2 buld we can
calculate its color without appealing the mandelbrot function, without
iterating, because it will never escape to infinite. Just have to verify
that: q(q+(x-1/4))
3. Plasma
The scientific name would be random midpoint displacemant. For a given
rectangle the function divides it in 4 smaller one calculating the values of
each pixel by median.
Plasma: After initialization and random if the asked rectangle is not a
single pixel then it puts a seed pixel in the corners and in the center.
After that, while the size of the rectangle is not 1 it recurse through the
pixels going in further depths.
do_plasma: Calculates the mid-point of the rectangle and in case of depht=-1
(first case) randoms the color values for the corners and the middle of the
image.
If depth is 0 (in case the rectangle has less then 4 pixels) for every case
we get the pixel values from the current image, average it and adds a new
random value for each alpha.
Else it calls the function recursively for the 4 divided rectangles.
This can also be written using for example a perlin noise function and calculating for each component of c sin(f(x,y)*frequency(c)).
Code review and algorithm descrition(GEGL op):
1. Gaussian-blur:
Algorithm: After calculating the Gaussian matrix with the known function for
a certain radius, we ortonormalize it by dividen each element with the sum
of all elements. Then apply this to the image and calculating the value of
each pixel with weighted median.
Using Gaussian linearly separable property we can divide the process into 2
passes. First a vector is used to blur the image in horizontal or vertical
direction, then another vector is used to blur the image for the remaining
direction.
Area Filter base class is used because the color value of every pixel is
calculated with the help of the surrounding pixels (from the pixels of a
certain area).
fir_gen_convolve_matrix calculates the Gaussian matrix for a certain radius, and depending on the offset (x or y) fir_ver_blur or fir_hor_blur calculates the value of each color byte for each color with weighted median. iir_young_hor_blur (or ver) calculates the values of each new pixel by calculating for each row (column) its new values. The colour vector blur stores the calculated color values off the pixels, calculated by weighted media (vector b is the weight of a color, buf stores the original color of the pixel).
If there is some problem with code review or anything else please write it and I will correct it.
Thanks, Robert Sasu
GSoC 2011 Porting GIMP plugins to GEGL operations
On Tue, Mar 29, 2011 at 11:57 PM, sourav de wrote:
On Tue, Mar 29, 2011 at 1:15 PM, sourav de wrote:
On Tue, Mar 29, 2011 at 4:11 AM, Mukund Sivaraman wrote:
Hi Sourav
On Tue, Mar 29, 2011 at 12:36:04AM +0530, sourav de wrote:
Hi,
I am a 2nd year student of the department of Computer Science and Engineering at Indian Institute of Technology, Kharagpur ,and I am interested in the plugin for cartoonization of an image in GIMP.
I gather you want to modify the cartoon plug-in in GIMP?
The plug-in porting task that you have mentioned in the subject is to directly port GIMP plug-ins to GEGL ops. No modification of functionality is necessary. It is described here:
It is not a task of porting only 1 plug-in, but about 6-10 plug-ins per student. 1 plug-in is a very easy task and will not be sufficiently long for a full summer's work.
To apply for this task, please present the items mentioned on the linked wiki page.
----
However, if you wish to modify the cartoon plug-in, that sounds interesting too. It can be a different task. Can you describe what is lacking in the current approach in the GIMP plug-in? What is the algorithm that you plan to use ? You say you are doing a project on algorithmic art.. have you published anything on the methods you wish to use in this cartoon plug-in? Are you using any other published works?
Note that we _may_ accomodate more tasks if they are of a high quality and we are satisfied with how the student presents it.
Mukund
Thank you sir, for your comments, I'll come up with the presentation of those plug-ins mentioned in the wiki page and algorithm for the cartoonization plug-in soon.
And for the project on algorithmic art, I took this project in my current semester, I'll have to take the course Computer Graphics in my next semester to complete the project. So far I haven't yet publish any paper.-- Sourav De
2nd Year Student
Department of Computer Science and Engineering IIT KHARAGPURI wrote the code review for gaussian blur as it given here
http://git.gnome.org/browse/gegl/tree/operations/common/gaussian-blur.c
But I'm not familiar with writing code review and algorithmic description. Here goes my code review.
Gaussian blur operation code review:
1. function-1 : static void iir_young_find_constants (gfloat sigma,gdouble *B,gdouble *b)
a. the variable sigma is to avoid unexpected ringing at tile boundaries of an image.
b. there exists a variable q, whose value must be remained in between 0 - 1.5, and according to the value of sigma there are two procedures to calculate the value of q.
c. lastly it sets the value of the variables b[0] to b[3] and B, and then returns.2. function-2 : static inline void iir_young_blur_1D (gfloat * buf,gint offset,gint delta_offset,gdouble B,gdouble *b,gfloat * w,gint w_len)
a. this function blurrifies an image one dimensionally. b. wlen is the length of the 1d array w passed. c. here an image would be blurrified in two steps, applying forward and backward filter for each pixel, a local variable wcount counts the number of pixels each time.
d. the filter would be applied to the image according to the passed array w.3. function-3 : static void iir_young_hor_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect,gdouble B,gdouble *b)
a. this function blurrifies an image horizontally. b. first it creates an one dimensional array buf whose length is height*width*4, where height and width is height and width of the source image rectangle.
c. then it creates another one dimensional array w with the length of the width of the source image.
d. after then it fills the values of buf array according to the source image in RaGaBaA format.
e. then it applies the iir_young_blur_1D function to the newly generated ractangles.
f. lastly it stores the change in a destination array and returns.4. function-4 : static void iir_young_ver_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect,gdouble B, gdouble *b)
a. this function blurrifies an image vertically. b. first it creates an one dimensional array buf whose length is height*width*4, where height and width is height and width of the source image rectangle.
c. then it creates another one dimensional array w with the length of the height of the source image.
d. after then it fills the values of buf array according to the source image in RaGaBaA format.
e. then it applies the iir_young_blur_1D function to the newly generated ractangles.
f. lastly it stores the change in a destination array and returns.5. function-5 : static gint fir_calc_convolve_matrix_length (gdouble sigma)
a. depending upon the value of sigma it returns an integer which partially determines the width and height of the convolution matrix for image transformation.
6. function-6 : static gint fir_gen_convolve_matrix (gdouble sigma,gdouble **cmatrix_p)
a. first it sets the value of matrix-length by calling fir_calc_convolve_matrix_length function with sigma passed as a variable. b. then it creates the convolution matrix. c. finally it completes the whole convolution matrix by certain calculation, copies it to the cmatrix_p, and returns matrix_length.
7. function-7 : static inline float fir_get_mean_component_1D (gfloat * buf,gint offset,gint delta_offset,gdouble * cmatrix,gint matrix_length)
a. it returns the mean of the 1d array buf created previously,
8. function-8 : static void fir_hor_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect, gdouble *cmatrix,gint matrix_length,gint xoff)
a. this function also blurrifies an image horizontally, by creating a buffered array,but it blurrifies with a rectangle of given width and height, and offsets between source and destination array according to the value of xoff and radius.
9. function-9 : static void fir_ver_blur (GeglBuffer *src,const GeglRectangle *src_rect,GeglBuffer *dst,const GeglRectangle *dst_rect, gdouble *cmatrix,gint matrix_length,gint off)
a. this function also blurrifies an image verically, by creating a buffered array,but it blurrifies with a rectangle of given width and height, and offsets between source and destination array according to the value of yoff and radius.
Can anyone please help me with writing code review of a given code, by telling me whether it's a proper way to write code review or not?
-- Sourav De
2nd Year Student
Department of Computer Science and Engineering IIT KHARAGPUR
Hi everyone,
here is my code review for some of the plug-ins mentioned in Gsoc-wiki page,
*Cubism plug-in code review*
1. first it creates two structures
a. cvals (of CubismVals ), which includes some tile properties, preview
option
b. PLUG_IN_INFO (of GimpPlugInInfo)
2. function 1: static void cubism (GimpDrawable *drawable,GimpPreview *preview)
a. this function first checks whether there is an alpha chanel exits in the
image or not.
b. then it goes for the preview option. If it's still not set, then it sets
the upper left and lower righthand corners of the bounding box which
previews the image operation.
c. then it checks the body color, if it's not already black, it sets it to
the original images body color.
d. it then calculates number of tiles and randomizes indices for each tile.
e. then it calls gimp_pixel_rgn_init function to initialize the operation.
e. after that it calculates the starting point co-odinates, height, width
and angel of rotation for each tile and adds them to the desired polygons.
f. finally it slightly rotates and translates them.
3. function 2: static void fill_poly_color (Polygon *poly,GimpDrawable *drawable,GimpPreview *preview,guchar *col,guchar *dest)
a. first of all it calculates the distance between two points in a polygon,
and define x & y vector between them.
b. then by calling polygon_extents it gets the extreme positions of the
polygon.
c. from those positions it obtains the size of the polygon, minimum and
maximum number of scanlines for it.
d. then it determines the colors suitable for the polygon by comparing with
the pixel values of the source image at the polygon's position, and fills
the polygon with them.
4. Main function
a. it fetches the image first. b. then it checks for the run mode, if it's interactive then it starts with the default data, else it takes data from user. c. after that it calls the cubism function, proceeds with cubism effects, in the mean time it also keep flushing the display if run mode is non- interactive.
5. static gboolean cubism_dialog (GimpDrawable *drawable) : function
a. it opens up a dialogue box for the cubism and sets it's parameters.
b. it keeps on changing, toggling, swapping the display if user does some
change in those cubism parameters.
c. lastly it finalizes the event when user hits the OK button or CANCEL
button.
*Plasma plug-in code review
*1. first it creates two structures
a. pvals (of PlasmaValues ), which includes some plasma properties like
seeds, turbulance, random speed.
b. PLUG_IN_INFO (of GimpPlugInInfo)
2. function 1: static void plasma_seed_changed_callback (GimpDrawable *drawable,gpointer data)
a. this function calls plasma function
3. function 2: static void plasma (GimpDrawable *drawable,gboolean preview_mode)
a. it initializes the plasma operation by calling init_plasma function
b. after that it puts seed pixels , one in each corner, and one in the
center of each edge, plus one in the center of the image by calling
do_plasma function.
c. then it continues to go in further depths as much as possible and keeps
up the plasma operation.
d. finally it ceases the procedure by calling end_plasma function
4. function 3: static GimpPixelFetcher* init_plasma (GimpDrawable *drawable,gboolean preview_mode,GRand *gr)
a. it checks for the preview option, alpha channel and initializes the plasma operation.
5. function 4: static gboolean do_plasma (GimpPixelFetcher *pft,gint x1,gint y1,gint x2,gint y2,gint depth,gint scale_depth,GRand *gr)
a. it calculates the medians and for that first it checks the depth.
b. if depth=-1, then it generate random colors and put them into the corners
and center of the image.
c. else it takes the pixels from the given image and randomly obtain pixel
values according to the turbulance,then adds them and obtains average.
d. finally it goes for the higher depth by calling itself recursively.
6. Main function
a. it fetches the image first. b. then it checks for the run mode, if it's interactive then it starts with the default data, else it takes data from user. c. after that it calls the plasma function, in the mean time it also keep flushing the display if run mode is non- interactive.
7. static gboolean cubism_dialog (GimpDrawable *drawable) : function
a. it opens up a dialogue box for the plasma and sets it's parameters.
b. it keeps on changing, toggling, swapping the display if user does some
change in those plasma parameters.
c. lastly it finalizes the event when user hits the OK button or CANCEL
button.
*Cartoon plug-in code review
*1. first it creates two structures
a. cvals (of CartoonVals ), with mask radious, threshold and percentage
black
b. PLUG_IN_INFO (of GimpPlugInInfo)
2. function 1: static void cartoon (GimpDrawable *drawable,GimpPreview *preview)
a. it checks for the preview option, alpha channel in the given image.
b. it also initializes two destination image structure, one for blur radius
1 and another for given mask radius.
c. then it calculates the standard deviations from blur radius & mask
radious and derives constants from them for calculating the gaussian values.
d. then it starts computing pixel values first by vertically then by
horizontally.
e. for vertical case, for each vertical strip it initializes the process by
dealing with the first and last points of the strip.
f. after calculation with the help of those pre calculated gaussians
consatnts, it transfers those calculated pixel values to their destination
images.
g. similarly it does for the horizontal case.
h. then it computes ramp value (for percentage black) by calling the
compute_ramp function.
i. then it initializes the procedure for each pixel regions of the image by
calculating the relative intensity difference= avg pixel intensity of 1st
image(blur radious) / avg pixel intensity of 2nd image(mask radius)
j. from this relative difference it calculates the intensity multiplication
factor.
if relative diff < Threshold,
intensity mult = (Ramp - MIN (Ramp, (Threshold - relative diff))) /
Ramp
else
mult =1.0
k. in the mean time it clamps the value of the lightness of the final image
between 0 to 255.
l. then it computes the pixel intensity and finalizes the destination image,
but in this case, before writing pixel values to the destination image, it
converts the color code first from rgb to hsl, then sets the lightness, and
converts it back to rgb.
3. function 2: static gdouble compute_ramp (guchar *dest1,guchar *dest2,gint length,gdouble pct,gint under_threshold)
a. it calculates the ramp value via hysterisis. b. fistly it calculates the difference between the pixel values of the two different destination images and hysterizes it. c. lastly with the obtained hysterized values it compares the percentage black value and determined the relative intensity.
4. function 3: static void find_constants (gdouble n_p[],gdouble n_m[],gdouble d_p[],gdouble d_m[],gdouble bd_p[],gdouble bd_m[],gdouble std_dev)
a. it calculates some constants reqiures for 4th order approximation of the gaussian operator.
5. Main function
a. it fetches the image first. b. then it checks for the run mode, if it's interactive then it starts with the default data, else it takes data from user. c. after that it calls the cartoon function, in the mean time it also keep flushing the display if run mode is non- interactive.
6. static gboolean photocopy_dialog (GimpDrawable *drawable)
a. it opens up a dialogue box for cartoonization and sets it's parameters.
b. it keeps on changing, swapping the display if user does some change in
those cartoonizing parameters.
c. lastly it finalizes the event when user hits the OK button or CANCEL
button.
*Photocopy plug-in code review
*1. first it creates two structures
a. pvals (of PhotocopyVals ), which includes properties of the final image like, sharpness, threshold, % black & % white b. PLUG_IN_INFO (of GimpPlugInInfo)
2. function 1: static void photocopy (GimpDrawable *drawable,GimpPreview *preview)
a. it checks for the preview option, alpha channel in the given image.
b. it also initializes two destination image structure, one for blur radius
1 and another for given mask radius.
c. then it calculates the standard deviations from blur radius & mask
radious and derives constants from them for calculating the gaussian values.
d. then it starts computing pixel values first by vertically then by
horizontally.
e. for vertical case, for each vertical strip it initializes the process by
dealing with the first and last points of the strip.
f. after calculation with the help of those pre calculated gaussians
consatnts, it transfers those calculated pixel values to their destination
images.
g. similarly it does for the horizontal case.
h. then it computes ramp values ( ramp down for percentage black & ramp up
for percentage white) by calling the compute_ramp function.
i. then it initializes the procedure for each pixel regions of the image by
calculating the relative intensity difference= avg pixel intensity of 1st
image(blur radious) / avg pixel intensity of 2nd image(mask radius)
j. from this relative difference it calculates the intensity multiplication
factor.
if relative diff < Threshold,
intensity mult = (Ramp_down - MIN (Ramp_down, (Threshold - relative
diff))) / Ramp_down
else
mult = MIN (Ramp_up,(diff - Threshold)) / Ramp_up;
k. in the mean time it clamps the value of the lightness of the final image
between 0 to 255.
l. then it computes the pixel intensity and finalizes the destination image.
3. function 2: static gdouble compute_ramp (guchar *dest1,guchar *dest2,gint length,gdouble pct,gint under_threshold)
a. it calculates the ramp value via hysterisis. b. fistly it calculates the difference between the pixel values of the two different destination images and hysterizes it. c. lastly with the obtained hysterized values it compares the percentage black / white value and determined the relative intensity.
4. function 3: static void find_constants (gdouble n_p[],gdouble n_m[],gdouble d_p[],gdouble d_m[],gdouble bd_p[],gdouble bd_m[],gdouble std_dev)
a. it calculates some constants reqiures for 4th order approximation of the gaussian operator.
5. Main function
a. it fetches the image first. b. then it checks for the run mode, if it's interactive then it starts with the default data, else it takes data from user. c. after that it calls the photocopy function, in the mean time it also keep flushing the display if run mode is non- interactive.
6. static gboolean photocopy_dialog (GimpDrawable *drawable)
a. it opens up a dialogue box for photocopy and sets it's parameters.
b. it keeps on changing, swapping the display if user does some change in
those photocopy parameters.
c. lastly it finalizes the event when user hits the OK button or CANCEL
button.
kindly have a look and let me know if there is any mistake.
GsoC - 2011 - Porting GIMP plugins to GEGL operations
I wrote the code review for 2 more plug-ins: Cartoon and Photocopy
Gimp dialog function do all almost the same thing: Let the user choose the
parameters for each plugin by opening a box with a preview box. While
changing the parameters it changes the preview image until the user press
the ok or the cancel button.
We can say the same thing for run function (almost the same). It gets the
drawable in the drawable structure the sets the tile cache size, gets data
from the keyboard and run the dialog, if there is no dialog it initiates its
own values for the plug-in. Checks if everything is all right, run the
plugin and stores the data.
1. Cartoon (in gegl the base class would be AREA FILTER):
Algorithm:
For each pixel it calculates the pixel intensity by comparing the pixels
relative intesity to its neighborhood pixels and to the relative intensity
difference to total black .
Let say mask radius is equal with radius of pixel neighborhood for intensity
comparison, threshold is the relative intensity difference which will result
in darkening, ramp is the amount of relative intensity difference before
total black and blur radius is mask radius per 3.
Then the new intensity of the pixel will be:
relative difference = pixel intensity / average (mask radius)
If relative difference < Threshold
intensity multiply = (Ramp - MIN (Ramp, (Threshold - relative difference)))
/ Ramp
pixel intensity =old intensity * intensity mult
static void cartoon:
Checks for the preview, then sets the width and height of the drawable
image, gets the image type (bytes) and the aplha value (has_alpha). It
initialize the 5 vectors and 2 destination image structures (dest1 for blur
radius and dest2 for mask radius). Calculates the standard deviations from
blur and mask radius. Then derives the constant values for calculating the
gaussian's from the deviations (via the 4th order approximation of the
gaussian operator).
Like in the case of gaussian blur the calculation of the new values of the
image is linear so the calculation can be devided for 2 directions. First
calculates the values for every column then for every row.
Calculating for every column: firstly initializes and calculates the first
and the last pixel of the column. Then with the help of the gaussian
constants it calculates every pixel of the column the transfers the pixels
to the destination image.
It will do the same calculations in case of the horizontal direction.
After calculating the blakc percentage value (ramp). Then calculates the new
intensity for each pixel:
relative difference = pixel intensity / average (mask radius)
intensity multiply=1
If relative difference < Threshold
intensity multiply = (Ramp - MIN (Ramp, (Threshold - relative
difference))) / Ramp
pixel intensity =old intensity * intensity multiply
Before upgrading the drawable image transfers the calculated destination
image structure from RGB format to HLS, sets the lightness and converts
back.
computer ramp:
Calculates the ramp value (intensity difference from total black) by
calculating the difference between the destination images (one calculated
with blur radius the other with mask radius), and hysterizes the difference.
Then compares the hysterized values to the percentage of the black color and
calculates the relative intensity via average.
2. Photocopy (in gegl the base class would be AREA FILTER):
Propagates dark value in an image based on each pixel's relative
darkness to a neighboring average. Sets the remaining pixels to white.
The plug-in differs a little from the cartoon plug-in.
Algorithm:
Using the same notations as in the cartoon plug-in the new intensity of
every pixel will be:
elative diff = pixel intensity / avg (mask radius)
If relative diff < Threshold
intensity mult = (Ramp - MIN (Ramp, (Threshold - relative diff))) / Ramp
pixel intensity *= intensity mult
Else pixel intensity = white
static void photocopy: It is almost the same as in the cartoon plug-in.
Desaturates the image, checks for the preview, then sets the width and
height of the drawable image, gets the image type (bytes) and the aplha
value (has_alpha). It initialize the 5 vectors and 2 destination image
structures (dest1 for blur radius and dest2 for mask radius). Calculates the
standard deviations from blur and mask radius. Then derives the constant
values for calculating the gaussian's from the deviations (via the 4th order
approximation of the gaussian operator).
Like in the case of gaussian blur the calculation of the new values of the
image is linear so the calculation can be devided for 2 directions. First
calculates the values for every column then for every row.
Calculating for every column: firstly initializes and calculates the first
and the last pixel of the column. Then with the help of the gaussian
constants it calculates every pixel of the column the transfers the pixels
to the destination image.
It will do the same calculations in case of the horizontal direction.
After calculating the black and white percentage values (ramp down and ramp
up). Relative difference is equal with the average pixel intensity of the
blur radius image per the average pixel intersity of the maske radius image.
While calculating the intensity of each pixel it also calculates the
lightness of the drawable image between 0 and 255.
intensity multiply = 1
if relative diff < Threshold
if ramp_down == 0 intensity multiply = 0
else intensity mult = (ramp_down - MIN (ramp_down, (Threshold -
relative
difference))) / ramp_down
else if ramp_down !=0 mult = MIN (ramp_up,(relative difference -
Threshold)) / ramp_up;
Knowing the lightness calculates the value of each pixel and draws the
image.
compute ramp and find constants functions are the same as in the cartoon plug-in.
Compute ramp and find constants could be directly written in gegl api as not to write the same thing twice. For recalculating the pixels by adding lightness we could use a lightness plug-in for it.
I have an exam saturday, so I will finish and send the plug-in ported to
gegl on sunday.
If there is anything else I should do please write it. If there is
something wrong with the code reviews tell it and I will rewrite it.
Thanks, Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
help me to understand. GIMP plugin authors will now be required to write their
plugins in GEGL?
as of what version of GIMP, if anyone knows?
From: Robert Sasu To: gimp-developer@lists.XCF.Berkeley.EDU Sent: Wed, March 30, 2011 10:53:09 AM Subject: [Gimp-developer] GsoC - 2011 - Porting GIMP plugins to GEGL operations My background: I am a 1st year student of the department of Computer Science and Engineering at Polytehnical University of Bucharest. I have started to use GIMP 2 years ago. I wrote emboss, blur and sharpen tools in C and then in Octave. I wrote a program which converts images from Targa(for RGB images with colour map or without) to PPM(type 3) and back. I would also suggest to generalize the emboss plug-in by using some operators such as: Sobel, Robert Cross, Prewitt, Scharr or Costella. In case of Sobel operator we can set 3 types of normalizing (gradient x,y or magnitude) all 3 making some new effects. Code review and algorithm description (GIMP plug-ins): 1. Cubism Function cubism: Initializes the values of alpha and image type, and fills the image with the background colour, which we get from the drawable image(current image). After calculating the number of tiles of the asked rectangle the function randoms the indices and initiates the first rectangle. For each tile the starting point (x,y),height and with is randomed between certain limits, depending on the tile saturation and tile size set by the user. The rotation grad is also randomed. Then for each polygon it adds the calculated points to the structure for creating the double perspective, rotates and translates it by adding the starting points(x,y). It checks if the calculated point is between minimum and maximum and gets the closest value (CLAMP), and gets the pixel color from the source. Finally it fills with color the drawable image in the pixels within the polygon. fill_poly_color: The colour of a pixel will be calculated by looking at the backgroung image and the intersection of the polygons. Firstly calculates the distance between the 2 points of the polygon and initiates values of vector. By polygon_extent we get the minimum and maximum position of the pixels. It initiates the the values of the lines which need to be scanned and for every 2 points in the polynom it calculates the minimum and maximum of the segment. For every pixel in the polygon it calculates the colour which will be equal with the color from the source image which is in the position (x,y). x is equal with ((size_x-1)/4+min_x. In vals the function keeps if that row was reached or not. The alpha value of the pixel color is between 0.1 and 0.2, caculated by the distance between the points in the polygon. Every value we get from buf which will be equal with the color of the coloumn plus the color from the position (x,y). 2. Fractal trace Initialization: source pixel table(guchar **) gets the color values of the current picture for every column. Destination pixel table gets allocated memory. Pixel get: In function of the image type the asked pixel gets the values from source pixel table for RGBA. Pixel set: The color of a certain (position c,y) is uploaded to destination pixel table considering also the image type. Pixel get biliner: Calculates the values of the colors for the asked pixel, making median of its neighbour. The alpha value is accumulated, for the other values after accumulating the color*alpha it divides with the acumulated alpha. Mandelbrot: While the iteration number is smaller then it calculates the position of the pixels with the quadratic polynomial. The new pixel position will be the values calculated on the last iteration. Filter: For each pixel in the given rectangle the function calculates its colour value. First it calculates a position of the asked pixel by the parameters, then iterates it with the mandelbrot function. If the iterated pixel position is in within the image then its color value is calculated. Else if the position escaped to infinite then in function of the Outside type it calculates its value. In case of WRAP the color of the pixel will be equal with the pixel being at the position (px-px/width,py-py/height). At last it saves the value of the color in destination pixel table. It is written almost the same thing for the dialog-preview, the setpixel function is differing because it considers every picture to be type RGBA. Possible optimization: If the given point lies within the cardioid or in the period-2 buld we can calculate its color without appealing the mandelbrot function, without iterating, because it will never escape to infinite. Just have to verify that: q(q+(x-1/4))<1/4*y^2, where q=(x-1/4)^2+y^2. Moreover the periodicity checking could also be implemented by using a little more memory. If by iterating a pixel, that pixel reaches another pixel which was calculated(iterated) before we know its colour. 3. Plasma The scientific name would be random midpoint displacemant. For a given rectangle the function divides it in 4 smaller one calculating the values of each pixel by median. Plasma: After initialization and random if the asked rectangle is not a single pixel then it puts a seed pixel in the corners and in the center. After that, while the size of the rectangle is not 1 it recurse through the pixels going in further depths. do_plasma: Calculates the mid-point of the rectangle and in case of depht=-1 (first case) randoms the color values for the corners and the middle of the image. If depth is 0 (in case the rectangle has less then 4 pixels) for every case we get the pixel values from the current image, average it and adds a new random value for each alpha. Else it calls the function recursively for the 4 divided rectangles. This can also be written using for example a perlin noise function and calculating for each component of c sin(f(x,y)*frequency(c)). Code review and algorithm descrition(GEGL op): 1. Gaussian-blur: Algorithm: After calculating the Gaussian matrix with the known function for a certain radius, we ortonormalize it by dividen each element with the sum of all elements. Then apply this to the image and calculating the value of each pixel with weighted median. Using Gaussian linearly separable property we can divide the process into 2 passes. First a vector is used to blur the image in horizontal or vertical direction, then another vector is used to blur the image for the remaining direction. Area Filter base class is used because the color value of every pixel is calculated with the help of the surrounding pixels (from the pixels of a certain area). fir_gen_convolve_matrix calculates the Gaussian matrix for a certain radius, and depending on the offset (x or y) fir_ver_blur or fir_hor_blur calculates the value of each color byte for each color with weighted median. iir_young_hor_blur (or ver) calculates the values of each new pixel by calculating for each row (column) its new values. The colour vector blur stores the calculated color values off the pixels, calculated by weighted media (vector b is the weight of a color, buf stores the original color of the pixel). If there is some problem with code review or anything else please write it and I will correct it. Thanks, Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
On Sat, Apr 2, 2011 at 3:24 AM, Jim Michaels wrote:
help me to understand. GIMP plugin authors will now be required to write their plugins in GEGL?
GIMP has for a long time (decade) been moving towards using GEGL for it's imaging core. GEGL plugins do support higher bit depths like 16bit and 32bit floating point/high dynamic range. As of GIMP 2.6 you can already use GEGL operations in place of GIMP plug-ins with the GEGL tool, but GIMP has not yet migrated its storage of actual raster layer data to GEGL. There might in the future be a GEGL operation that permits running legacy GIMP plug-ins in a an "emulator" such emulated execution will however be rather destructive to higher bitdepth images as well as for strictly color managed workflows where the 8bit limitations will be leading to data/precision loss.
as of what version of GIMP, if anyone knows?
Hard to tell, but the actually useful plug-ins, and in particular the ones shipping with GIMP should be migrated, to gain benefits like on canvas preview, multi-threading and more.
/Øyvind K.
«The future is already here. It's just not very evenly distributed» -- William Gibson http://pippin.gimp.org/ http://ffii.org/ _______________________________________________ Gimp-developer mailing list Gimp-developer@lists.XCF.Berkeley.EDU https://lists.XCF.Berkeley.EDU/mailman/listinfo/gimp-developer
GsoC - 2011 - Porting GIMP plugins to GEGL operations
After writing the code reviews I ported the emboss plug-in to gegl. Should I upload to GIMP bugzilla ?
Thanks, Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
2011/4/7 Robert Sasu :
After writing the code reviews I ported the emboss plug-in to gegl. Should I upload to GIMP bugzilla ?
Yes please, and don't forget to reference the patch in your GSoC 2011 application.
BR,
Martin
GsoC - 2011 - Porting GIMP plugins to GEGL operations
I am also a student working on it. We have to send it. If you already have a account then you can post it. But we are not able to create an account at present on that. So I am also in a confusion as to where to post it.
On Thu, Apr 7, 2011 at 12:56 PM, Robert Sasu wrote:
After writing the code reviews I ported the emboss plug-in to gegl. Should I upload to GIMP bugzilla ?
Thanks, Robert Sasu
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GsoC - 2011 - Porting GIMP plugins to GEGL operations
Here is my last task. I attached the emboss plug-in ported to gegl. Just paste in the gegl/operations/common, compile and run it. If there is something wrong please write it and I will immidiatelly correct it.
Thank you,
Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
I've revised my code, adding comments and references. If there is anything to correct please write it.
Thank you, Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
I've revised my code, adding comments and references. If there is anything to correct please write it.
Thank you, Robert Sasu
GsoC - 2011 - Porting GIMP plugins to GEGL operations
I removed the tabs and rewrite the code again. If there is anything to do, please let me know.
Thank you, Robert Sasu