Color facial image denoising based on rpca and noisy pixel detection

Zhaojun Yuan; Xudong Xie; Xiaolong Ma; Kin Man Lam

doi:10.1109/ICASSP.2013.6638095

Color facial image denoising based on rpca and noisy pixel detection

Zhaojun Yuan, Xudong Xie, Xiaolong Ma, Kin Man Lam

The Hong Kong Polytechnic University

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

3 Citations (Scopus)

Abstract

In this paper, a novel approach for color facial-image denoising based on robust principal component analysis (RPCA) [1] in the L*a*b* color space and noisy pixel detection is proposed. Firstly, RPCA is employed for color facial-image recovery in the L*a*b* space. Then, the reconstructed image is used for noisy pixel detection. Finally, the denoised facial-image can be obtained. Experiments are conducted based on the AR database, where our proposed method is compared with several state-of-the-art image-denoising methods. Experimental results show that our method can achieve a better performance in terms of both quantitatively evaluation and visual quality.

Original language	English
Title of host publication	2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages	2449-2453
Number of pages	5
DOIs	https://doi.org/10.1109/ICASSP.2013.6638095
Publication status	Published - 18 Oct 2013
Event	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: 26 May 2013 → 31 May 2013

Conference

Conference	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/Territory	Canada
City	Vancouver, BC
Period	26/05/13 → 31/05/13

Keywords

color facial-image
Image denoising
noisy pixel detection
RPCA

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

More information

10.1109/ICASSP.2013.6638095

Cite this

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title = "Color facial image denoising based on rpca and noisy pixel detection",

abstract = "In this paper, a novel approach for color facial-image denoising based on robust principal component analysis (RPCA) [1] in the L*a*b* color space and noisy pixel detection is proposed. Firstly, RPCA is employed for color facial-image recovery in the L*a*b* space. Then, the reconstructed image is used for noisy pixel detection. Finally, the denoised facial-image can be obtained. Experiments are conducted based on the AR database, where our proposed method is compared with several state-of-the-art image-denoising methods. Experimental results show that our method can achieve a better performance in terms of both quantitatively evaluation and visual quality.",

keywords = "color facial-image, Image denoising, noisy pixel detection, RPCA",

author = "Zhaojun Yuan and Xudong Xie and Xiaolong Ma and Lam, {Kin Man}",

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booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",

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Yuan, Z, Xie, X, Ma, X & Lam, KM 2013, Color facial image denoising based on rpca and noisy pixel detection. in 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings., 6638095, pp. 2449-2453, 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, 26/05/13. https://doi.org/10.1109/ICASSP.2013.6638095

Color facial image denoising based on rpca and noisy pixel detection. / Yuan, Zhaojun; Xie, Xudong; Ma, Xiaolong et al.
2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 2449-2453 6638095.

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

TY - GEN

T1 - Color facial image denoising based on rpca and noisy pixel detection

AU - Yuan, Zhaojun

AU - Xie, Xudong

AU - Ma, Xiaolong

AU - Lam, Kin Man

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AB - In this paper, a novel approach for color facial-image denoising based on robust principal component analysis (RPCA) [1] in the L*a*b* color space and noisy pixel detection is proposed. Firstly, RPCA is employed for color facial-image recovery in the L*a*b* space. Then, the reconstructed image is used for noisy pixel detection. Finally, the denoised facial-image can be obtained. Experiments are conducted based on the AR database, where our proposed method is compared with several state-of-the-art image-denoising methods. Experimental results show that our method can achieve a better performance in terms of both quantitatively evaluation and visual quality.

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KW - Image denoising

KW - noisy pixel detection

KW - RPCA

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Color facial image denoising based on rpca and noisy pixel detection

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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