Capsim Block Documentation
Input an image and add the following noise to it: Uniform noise. Gaussian noise. Spike noise.
| Port | Type | Name | |
|---|---|---|---|
| 0 | image_t | x |
| Port | Type | Name | |
|---|---|---|---|
| 0 | image_t | y |
| Num | Type | Name | Initial Value | Description |
|---|---|---|---|---|
| 0 | image_t | img |
int no_samples; int i,j,k; float norm; dsp_floatMatrix_t matrix; |
|---|
SET_CELL_SIZE_IN(0,sizeof(image_t));
SET_CELL_SIZE_OUT(0,sizeof(image_t));
|
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/*
* collect the image
*/
for (no_samples = MIN_AVAIL(); no_samples > 0; --no_samples) {
/*
* input an image
*/
IT_IN(0);
img=x(0);
matrix.height=img.height;
matrix.width=img.width;
matrix.matrix_PP=img.image_PP;
Dsp_MatrixAddNoise(&matrix,type,expression,param1,param2);
/*
* Send image out
*/
img.width=matrix.width;
img.height=matrix.height;
img.image_PP=matrix.matrix_PP;
if(IT_OUT(0)) {
KrnOverflow("imgaddnoise",0);
return(99);
}
y(0) = img;
}
return(0);
|
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/* Capsim (r) Text Mode Kernel (TMK) Star Library (Blocks)
Copyright (C) 1989-2002 XCAD Corporation
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
http://capsimtmk.sourceforge.net
XCAD Corporation
Raleigh, North Carolina */
|
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/* imgaddnoise.s */
/***********************************************************************
imgaddnoise()
************************************************************************
Input an image and add the following noise to it:
Uniform noise distributed between a(param1) and b(param2)
Gaussian noise with mean(param1) and std(param2) specified.
Spike noise generated as follows:
a Normal distribution is generated. If its level exceeds
param1, then its value is assigned to x.
Next x is multiplied by param2 to obtain the spike.
The spike value is then added to the matrix.
To generate different outcomes change the expression
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