Spectral algorithm for removing salt and pepper from images

Olivier Rioul

Spectral algorithm for removing salt and pepper from images

Olivier Rioul

Résultats de recherche: Contribution à une conférence › Papier › Revue par des pairs

Résumé

This paper presents an elegant solution to the impulse noise cancellation problem for images. The approach taken here is based on the theory of error-correcting (BCH) codes. Impulses are considered as `errors'. The process is in two steps: First, find the error locations in the image; then, correct the error values. A first pass is made on the lines of the image, a second pass is then performed on the columns. Next the same procedure is repeated. In most cases, impulse noise is completely removed after a few iterations are performed.

langue originale	Anglais
Pages	275-278
Nombre de pages	4
état	Publié - 1 janv. 1996
Evénement	Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway Durée: 1 sept. 1996 → 4 sept. 1996

Une conférence

Une conférence	Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop
La ville	Loen, Norway
période	1/09/96 → 4/09/96

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title = "Spectral algorithm for removing salt and pepper from images",

abstract = "This paper presents an elegant solution to the impulse noise cancellation problem for images. The approach taken here is based on the theory of error-correcting (BCH) codes. Impulses are considered as `errors'. The process is in two steps: First, find the error locations in the image; then, correct the error values. A first pass is made on the lines of the image, a second pass is then performed on the columns. Next the same procedure is repeated. In most cases, impulse noise is completely removed after a few iterations are performed.",

author = "Olivier Rioul",

year = "1996",

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N2 - This paper presents an elegant solution to the impulse noise cancellation problem for images. The approach taken here is based on the theory of error-correcting (BCH) codes. Impulses are considered as `errors'. The process is in two steps: First, find the error locations in the image; then, correct the error values. A first pass is made on the lines of the image, a second pass is then performed on the columns. Next the same procedure is repeated. In most cases, impulse noise is completely removed after a few iterations are performed.

AB - This paper presents an elegant solution to the impulse noise cancellation problem for images. The approach taken here is based on the theory of error-correcting (BCH) codes. Impulses are considered as `errors'. The process is in two steps: First, find the error locations in the image; then, correct the error values. A first pass is made on the lines of the image, a second pass is then performed on the columns. Next the same procedure is repeated. In most cases, impulse noise is completely removed after a few iterations are performed.

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M3 - Paper

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T2 - Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop

Y2 - 1 September 1996 through 4 September 1996

ER -

Spectral algorithm for removing salt and pepper from images

Résumé

Une conférence

Autres fichiers et liens

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