A novel patch-based image denoising algorithm using finite radon transform for good visual

Yun Xia Liu; Ngai Fong Law; Wan Chi Siu

A novel patch-based image denoising algorithm using finite radon transform for good visual

Yun Xia Liu, Ngai Fong Law, Wan Chi Siu

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Patch-based denoising methods have recently emerged due to its good denoising performance. In this paper, based on analysis of the optimal over-complete patch aggregation, we highlight the importance of a local transform for good image features representation. A finite Radon transform (FRAT) based two-stage over-complete image denoising algorithm is then proposed for obtaining good visual quality of denoised images. Experimental results demonstrate good performance in that the denoised images obtained by the proposed method are less influenced by artifacts.

Original language	English
Title of host publication	APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011
Pages	517-521
Number of pages	5
Publication status	Published - 1 Dec 2011
Event	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China Duration: 18 Oct 2011 → 21 Oct 2011

Conference

Conference	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
Country/Territory	China
City	Xi'an
Period	18/10/11 → 21/10/11

ASJC Scopus subject areas

Information Systems
Signal Processing

Cite this

@inproceedings{0b79c33248b94c5fb168590262bd2c24,

title = "A novel patch-based image denoising algorithm using finite radon transform for good visual",

abstract = "Patch-based denoising methods have recently emerged due to its good denoising performance. In this paper, based on analysis of the optimal over-complete patch aggregation, we highlight the importance of a local transform for good image features representation. A finite Radon transform (FRAT) based two-stage over-complete image denoising algorithm is then proposed for obtaining good visual quality of denoised images. Experimental results demonstrate good performance in that the denoised images obtained by the proposed method are less influenced by artifacts.",

author = "Liu, {Yun Xia} and Law, {Ngai Fong} and Siu, {Wan Chi}",

year = "2011",

month = dec,

day = "1",

language = "English",

pages = "517--521",

booktitle = "APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011",

note = "Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 ; Conference date: 18-10-2011 Through 21-10-2011",

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Liu, YX, Law, NF & Siu, WC 2011, A novel patch-based image denoising algorithm using finite radon transform for good visual. in APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. pp. 517-521, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011, Xi'an, China, 18/10/11.

A novel patch-based image denoising algorithm using finite radon transform for good visual. / Liu, Yun Xia; Law, Ngai Fong; Siu, Wan Chi.
APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. 2011. p. 517-521.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - Patch-based denoising methods have recently emerged due to its good denoising performance. In this paper, based on analysis of the optimal over-complete patch aggregation, we highlight the importance of a local transform for good image features representation. A finite Radon transform (FRAT) based two-stage over-complete image denoising algorithm is then proposed for obtaining good visual quality of denoised images. Experimental results demonstrate good performance in that the denoised images obtained by the proposed method are less influenced by artifacts.

AB - Patch-based denoising methods have recently emerged due to its good denoising performance. In this paper, based on analysis of the optimal over-complete patch aggregation, we highlight the importance of a local transform for good image features representation. A finite Radon transform (FRAT) based two-stage over-complete image denoising algorithm is then proposed for obtaining good visual quality of denoised images. Experimental results demonstrate good performance in that the denoised images obtained by the proposed method are less influenced by artifacts.

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M3 - Conference article published in proceeding or book

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BT - APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011

T2 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011

Y2 - 18 October 2011 through 21 October 2011

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A novel patch-based image denoising algorithm using finite radon transform for good visual

Abstract

Conference

ASJC Scopus subject areas

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