Adaptive image restoration using discrete polynomial transforms

Xavier Neyt; Marc Acheroy

Adaptive image restoration using discrete polynomial transforms

Publikation: Unpublished contribution to conference › Papier › Begutachtung

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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.

Originalsprache	Englisch
Seiten	365
Seitenumfang	7
Publikationsstatus	Veröffentlicht - 1995
Veranstaltung	Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can Dauer: 17 Sept. 1995 → 22 Sept. 1995

Konferenz

Konferenz	Proceedings of the 1995 IEEE International Symposium on Information Theory
Ort	Whistler, BC, Can
Zeitraum	17/09/95 → 22/09/95

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isit95-neytAkzeptiertes Autorenmanuskript, 303 KBLizenz: CC BY-NC-ND

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author = "Xavier Neyt and Marc Acheroy",

year = "1995",

language = "English",

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AU - Acheroy, Marc

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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

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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

Abstract

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