Nonlinear Filter Model for Digital Imaging of Contrast Images

Abstract

This paper describes a model of digital filtering of noisy contrasting images with minimum blur of brightness at the overfall boundary, which is based on smoothing out digital images with the help of the generalized method of least absolute values. The model requires variation of two parameters of the loss function as a function on the degree of contrast and noise level. The results are based on extensive computational experiments performed by the Monte Carlo statistical test method.