DocumentCode :
2926806
Title :
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 :
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