FILTERS FOR ELIMINATING NOISE IN IMAGES

Abstract

In this research work, elimination of noise in digital images
modern filters are analyzed. Widely used to improve image quality
mean, Weiner, Gaussian, median, anisotropic diffusion, bilateral and geometric mean
theoretical foundations and mathematical models of filters are presented. Each filter to itself
characteristics, advantages and fields of application are indicated. Linear and non-linear
Differences in filtering methods, as well as noise reduction while preserving edges
methods are described in detail. Research results in image processing systems
in choosing the optimal filter and developing effective denoising algorithms
is of practical importance