Noise reduction and enhancement by means of adaptive residue-image processing

A class of simple noise-reduction and contrast-enhancement algorithms is presented. In these algorithms, the image is decomposed locally into its mean value and residue image, and the relative weight of each component is altered under the control of a contrast measure that is obtained through quadratic filtering of the input image. This adaptive residue-image processing technique can be implemented with few operations per pixel and is hence suitable for real-time applications. Moreover, it performs well, is flexible and generalizes several existing algorithms