Hi, everyone!
My goal is to implement efficient image illuminance (or lightning) normalization algorithm. This algorithm is intended to process non-uniformly illuminated images (scans).
I think of trying two different approaches
1) Calculate I(x,y) = Mean(I)/(c*Std(I)); where I(x,y) - pixel value, Mean(I) - mean value of the pixels in image, Std(I) - standard deviation and c - some constant
2) Do gaussian blur of an image, then subtract blurred pixel from original one and multiply by some constant
Does anyone know if IPP has some more efficient algorithm?