GaussianFilter[image, r] filters image by convolving with a Gaussian kernel of pixel radius r. GaussianFilter[image, r, {n_1, n_2}] convolves image with a kernel formed from ...

Mathematica not only includes highly optimized implementations of standard image restoration filters, but also provides sophisticated functions and algorithms allowing ...

Blur[image] gives a blurred version of image. Blur[image, r] gives a version of image blurred over pixel radius r.

Sharpen[image] gives a sharpened version of image. Sharpen[image, r] gives a version of image sharpened over pixel radius r.

Mathematica's highly optimized filtering capabilities provide a wide range of linear and modern nonlinear local filters, as well as a variety of nonlocal filters, which can ...

Directly integrated into Mathematica's uniform architecture for handling lists of data is an array of highly optimized algorithms for transforming and smoothing datasets that ...

CornerFilter[image] computes a measure for the presence of a corner for each pixel in image and returns the result as an intensity image. CornerFilter[image, r] detects ...

ImageConvolve[image, ker] gives the convolution of image with kernel ker.

LaplacianGaussianFilter[image, r] convolves image with a Laplacian of Gaussian kernel of pixel radius r. LaplacianGaussianFilter[image, {r, \[Sigma]}] convolves image with a ...

RidgeFilter[image] computes a measure for the presence of a ridge for each pixel in image. RidgeFilter[image, \[Sigma]] uses the specified ridge scale \[Sigma].