TELECOMMUNICATIONS AND RADIO ENGINEERING - 2011 Vol. 70,
No 20 		 

 

 

 

FILTERING OF IMAGES FROM FINITE-DIMENSIONAL FUNCTIONAL SPACE

Yu.V. Êîrnienko
A. Usikov Institute of Radio Physics and Electronics,
National Academy of Sciences of Ukraine
12, Academician Proskura St., Kharkiv 61085, Ukraine
E-mail: milv@ire.kharkov.ua

Abstract
The problem on the optimal filtering of images from the finite-dimensional functional space which are blurred by a known kernel and recorded in the presence of the additive Gaussian noise, is considered from the standpoint of the Bayes statistical approach. A general view on the problem is illustrated by two specific practical problems: filtering of images of an extended source system of known shape, and deter-mination of coordinates of a point source and its intensity as a time-varying function against the uniform background of unknown brightness.
KEY WORDS: the Bayes statistical approach, image filtering

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pages 1813-1826

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