I would like to make it clear. Am I correct in understanding that cross correlation is just transposing original image matrix?
Hi, @Koyo_Fujii !
Not really. Cross-correlation is the implemented function that runs when you use convolutions. Normally, cross-correlation is the most used because you don’t need to flip the kernel in order to make the operation. Apart from that, both are equal.