Speeding up Matlab Gaussian Filter implementation
 

<p>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. </p>

<pre><code>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
</code></pre>

<p>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.</p>

<p>Thank you</p>



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