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How to process each non-overlapped block of an image after it's sub-division?

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My function sub-divides an image into non-overlapping blocks (each block is a cell matrix). I wonder how to process each block and then recombine them to make a processed image? Let's say I want to apply fast Walsh Hadamard transform (fwht2) on each block. Here is my function:
if true
function Blocks = imageBlock(I)
[m,n] = size(I);
Blocks = cell(m/8,n/8);
counti = 0;
for i = 1:8:m-7
counti = counti + 1;
countj = 0;
for j = 1:8:n-7
countj = countj + 1;
Blocks{counti,countj} = I(i:i+7,j:j+7);
end
end
end

Accepted Answer

Walter Roberson
Walter Roberson on 14 Mar 2018
cellfun() to process them. cell2mat() to recombine.
Have you considered using blockproc() instead of the steps you are taking now?
  1 Comment
Mohsin Shah
Mohsin Shah on 14 Mar 2018
Yes, I did consider blockproc() but I am making a mistake in using blockproc().
if true
I = imread('lena.jpg');
fh = @fwht2d;
Ip = blcokproc(I, [8, 8], fh);
end
where fwht2d is a user-defined function. This code gives the following error: "BLOCKPROC encountered an error while evaluating the user-supplied function handle, FUN.
The cause of the error was:
Conversion to double from struct is not possible."

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More Answers (1)

Image Analyst
Image Analyst on 14 Mar 2018
Use blockproc() and give it your function. It can be whatever you want. See attached examples.
  4 Comments
Image Analyst
Image Analyst on 14 Mar 2018
You can only accept one, but you can Vote for mine. Voting will also give the answerer reputation points. You can vote for as many as you want.

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