ImageConvolve[image, ker] gives the convolution of image with kernel ker.
Using a variety of state-of-the-art methods, Mathematica provides immediate functions for detecting and extracting features in images and other arrays of data. Mathematica ...
Blur
(Built-in Mathematica Symbol) Blur[image] gives a blurred version of image.Blur[image, r] gives a version of image blurred over pixel radius r.
Sharpen
(Built-in Mathematica Symbol) Sharpen[image] gives a sharpened version of image.Sharpen[image, r] gives a version of image sharpened over pixel radius r.
MeanFilter[image, r] filters image by replacing every value by the mean value in its range r neighborhood. MeanFilter[data, r] applies mean filtering to an array of data.
Mathematica not only includes highly optimized implementations of standard image processing filters, but also uses its general symbolic architecture to allow arbitrarily ...
LaplacianFilter[image, r] convolves image with a range r Laplacian kernel.LaplacianFilter[image, {r_1, r_2}] uses ranges r_i in the vertical and horizontal ...
ImageDeconvolve[image, ker] gives a deconvolution of image using kernel ker.
CUDAImageConvolve[img, kern] gives the convolution of img with kern.CUDAImageConvolve[list, kern] gives the convolution of list with kern.CUDAImageConvolve[mem, kern] gives ...
BoxMatrix[r] gives a (2 r + 1)*(2 r + 1) matrix of 1s.BoxMatrix[r, w] gives a (2 r + 1)*(2 r + 1) block of 1s centered in a w*w matrix of 0s.BoxMatrix[{r_1, r_2, ...}, ...] ...