Adaptive image restoration using discrete polynomial transforms

Xavier Neyt; Marc Acheroy

Adaptive image restoration using discrete polynomial transforms

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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.

Originele taal-2	Engels
Pagina's	365
Aantal pagina's	7
Status	Gepubliceerd - 1995
Evenement	Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can Duur: 17 sep. 1995 → 22 sep. 1995

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Congres	Proceedings of the 1995 IEEE International Symposium on Information Theory
Stad	Whistler, BC, Can
Periode	17/09/95 → 22/09/95

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isit95-neytAanvaard auteursmanuscript, 303 KBLicentie: CC BY-NC-ND

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title = "Adaptive image restoration using discrete polynomial transforms",

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.",

author = "Xavier Neyt and Marc Acheroy",

year = "1995",

language = "English",

pages = "365",

note = "Proceedings of the 1995 IEEE International Symposium on Information Theory ; Conference date: 17-09-1995 Through 22-09-1995",

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T1 - Adaptive image restoration using discrete polynomial transforms

AU - Neyt, Xavier

AU - Acheroy, Marc

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:0029193459

SP - 365

T2 - Proceedings of the 1995 IEEE International Symposium on Information Theory

Y2 - 17 September 1995 through 22 September 1995

ER -

Adaptive image restoration using discrete polynomial transforms

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