Adaptive image restoration using discrete polynomial transforms

Xavier Neyt; Marc Acheroy

Adaptive image restoration using discrete polynomial transforms

Research output: UNPUBLISHED contribution to conference › Paper › peer-review

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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.

Original language	English
Pages	365
Number of pages	7
Publication status	Published - 1995
Event	Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can Duration: 17 Sept 1995 → 22 Sept 1995

Conference

Conference	Proceedings of the 1995 IEEE International Symposium on Information Theory
City	Whistler, BC, Can
Period	17/09/95 → 22/09/95

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isit95-neytAccepted author manuscript, 303 KBLicence: 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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TY - CONF

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.

UR - https://www.scopus.com/pages/publications/0029193459

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

Abstract

Conference

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