Speeding up Matlab Gaussian Filter implementation

[poster]

I am un familiar with matlab. I have calculated a kernel of size NxN refered to as mask in the code below. I then pad the image, before applying the convolution operation seen below.

for i=1:size(temp_image,1)  %temp size of output image

   for j=1:size(output_image,2) %size of our output image

     temp = double(padded_input(i:n-1+i,j:n-1+j)).*mask; %padded_input is our padded image

     temp_image(i,j) = sum (temp, 'all');

   end

end

This convolution calculation adds significant time to the operation, notably 3 seconds for my current test case. How can I reduce this convolution operations processing time? I would hypothesis there is a more efficient way to do this calculation.

Thank you

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