Nonlinear images processing based on a changing of distributions at parametric and nonparametric stochastic estimation

Author

Prudyus, Ivan ; Synyavskyy, Andriy

Author_Institution

Inst. of Telecommun., Radio Electron. & Electron. Techniques, Lviv Polytech. Nat. Univ., Ukraine

fYear

2002

fDate

2002

Firstpage

210

Lastpage

212

Abstract

Nonlinear image processing approaches based on both nonparametric and parametric principles were developed. A new method of nonlinear function determination on the basis of solving a nonlinear equation has been created when this equation was written by cumulative distribution functions of the random variable. The efficiency of the proposed approach was proved with examples of both quality increase of low contrast images with various natures and denoising of radar images at their homomorphic transform.

Keywords

nonlinear equations; nonlinear estimation; nonlinear functions; nonparametric statistics; parameter estimation; radar imaging; random noise; stochastic processes; cumulative distribution functions; efficiency; homomorphic transform; image prior model; image quality; low contrast images; nonGaussian random variable; nonlinear equation; nonlinear functions; nonlinear image processing; nonparametric stochastic estimation; parametric stochastic estimation; radar image denoising; Distribution functions; Image processing; Noise reduction; Nonlinear equations; Nonlinear systems; Radar imaging; Random variables; Signal processing; Stochastic processes; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2002. Proceedings of the International Conference

Print_ISBN

966-553-234-0

Type

conf

DOI

10.1109/TCSET.2002.1015931

Filename

1015931