Adaptive image restoration using discrete polynomial transforms

Author

Neyt, Xavier ; Acheroy, Marc

Author_Institution

Dept. of Electr. Eng., R. Mil. Acad., Brussels, Belgium

fYear

1995

fDate

17-22 Sep 1995

Firstpage

365

Abstract

This paper presents a restoration algorithm based on a local signal description using discrete polynomials. The algorithm is made adaptive by estimating the local signal-to-noise ratio and by computing the corresponding deblurring filter. Furthermore, this method is developed for discrete signals, the input and output images being almost always available as discrete signals

Keywords

adaptive signal processing; filtering theory; image restoration; polynomials; transforms; adaptive image restoration; deblurring filter; discrete polynomial transforms; discrete signals; input images; local SNR estimation; local signal description; local signal-to-noise ratio; output images; restoration algorithm; Adaptive filters; Discrete transforms; Image restoration; Matched filters; Polynomials; Signal processing; Signal processing algorithms; Signal restoration; Signal to noise ratio; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on

Conference_Location

Whistler, BC

Print_ISBN

0-7803-2453-6

Type

conf

DOI

10.1109/ISIT.1995.550352

Filename

550352

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2926806