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faster convol on local subsets? [message #78633]

Sun, 04 December 2011 16:37

Andre
Messages: 4
Registered: June 2011

Junior Member

Hello experts,

Maybe somebody has an easy solution for this?
I have a 2D array (img) and want the filter response from kernels that vary according to the image position. In a second array (loc, same dimensions as img) I have the information which kernel should be used at each pixel. My current approach is to first convolve the full image with the j-th kernel and take the response only at the positions with the current j indexed in the loc array:

for j=0, n do begin
kernel=kernel_store[*,*,j]
response_temp = convol(img, kernel, /edge_zero, /NAN)
index=where(loc eq j)
if (index[0] gt -1)then response[index]=response_temp[index]
endfor

I works fine, but it is relatively slow and I wonder if there is a smarter (faster) to apply only the convolutions that are really needed?

Thanks in advance for any help!

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