I got idea use two for loop according to image dimension in the place of signal
Can you explain what does it mean 'signal program' and 'image program'?
Maybe 'reshape' function is what are you looking for?
A = imread(FILENAME,FMT) reads a grayscale or color image from the file
specified by the string FILENAME. If the file is not in the current
directory, or in a directory on the MATLAB path, specify the full
pathname.
The text string FMT specifies the format of the file by its standard
file extension. For example, specify 'gif' for Graphics Interchange
Format files. To see a list of supported formats, with their file
extensions, use the IMFORMATS function. If imread cannot find a file
named FILENAME, it looks for a file named FILENAME.FMT.
The return value A is an array containing the image data. If the file
contains a grayscale image, A is an M-by-N array. If the file contains
a truecolor image, A is an M-by-N-by-3 array. For TIFF files containing
color images that use the CMYK color space, A is an M-by-N-by-4 array.
See TIFF in the Format-Specific Information section for more
information.
Suppose the file myImage.tif contains an RGB image (noncompressed) of size S1xS2. Use the following commands to convert this image:
A = imread('myImage.tif');
% A is an S1xS2x3 array of uint8.
A = double(A);
Xrgb = 0.2990*A(:,:,1) + 0.5870*A(:,:,2) + 0.1140*A(:,:,3);
NbColors = 255;
X = wcodemat(Xrgb,NbColors);
map = pink(NbColors);
The same program can be used to convert BMP or JPEG files.
Can you describe the purpose of the operation? Do you need the result to be shift, rotation or scale independent? Each of those properties will be effected by your choice of sampling geometry and pseudo-convolution kernel.
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