Adaptive image restoration using discrete polynomial transforms

Xavier Neyt; Marc Acheroy

Adaptive image restoration using discrete polynomial transforms

Xavier Neyt
, Marc Acheroy

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Résumé

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.

langue originale	Anglais
titre	Proceedings of 1995 IEEE International Symposium on Information Theory
Pages	365
Nombre de pages	7
état	Publié - 1995
Evénement	Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can Durée: 17 sept. 1995 → 22 sept. 1995

Une conférence

Une conférence	Proceedings of the 1995 IEEE International Symposium on Information Theory
La ville	Whistler, BC, Can
période	17/09/95 → 22/09/95

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isit95-neytAccepted author manuscript, 303 KBLicense: 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",

booktitle = "Proceedings of 1995 IEEE International Symposium on Information Theory",

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

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AU - Acheroy, Marc

PY - 1995

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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 - Conference contribution

AN - SCOPUS:0029193459

SP - 365

BT - Proceedings of 1995 IEEE International Symposium on Information Theory

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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Une conférence

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