DocumentCode :
1919437
Title :
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
Link To Document :
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