Efficient total variation minimization methods for color image restoration

You Wei Wen; Kwok Po Ng; Yu Mei Huang

doi:10.1109/TIP.2008.2003406

Efficient total variation minimization methods for color image restoration

You Wei Wen^*, Kwok Po Ng, Yu Mei Huang

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

78 Citations (Scopus)

Abstract

In this paper, we consider and study a total variation minimization model for color image restoration. In the proposed model, we use the color total variation minimization scheme to denoise the deblurred color image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We show the convergence of the alternating minimization algorithm and demonstrate that the algorithm is very efficient. Our experimental results show that the quality of restored color images by the proposed method are competitive with the other tested methods.

Original language	English
Pages (from-to)	2081-2088
Number of pages	8
Journal	IEEE Transactions on Image Processing
Volume	17
Issue number	11
DOIs	https://doi.org/10.1109/TIP.2008.2003406
Publication status	Published - Nov 2008

Scopus Subject Areas

Software
Computer Graphics and Computer-Aided Design

User-Defined Keywords

Color image restoration
Deblurring
Denoising
Total variation (TV)

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10.1109/TIP.2008.2003406

Cite this

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title = "Efficient total variation minimization methods for color image restoration",

abstract = "In this paper, we consider and study a total variation minimization model for color image restoration. In the proposed model, we use the color total variation minimization scheme to denoise the deblurred color image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We show the convergence of the alternating minimization algorithm and demonstrate that the algorithm is very efficient. Our experimental results show that the quality of restored color images by the proposed method are competitive with the other tested methods.",

keywords = "Color image restoration, Deblurring, Denoising, Total variation (TV)",

author = "Wen, {You Wei} and Ng, {Kwok Po} and Huang, {Yu Mei}",

note = "Funding Information: Manuscript received January 10, 2008; revised June 24, 2008. Current version published October 10, 2008. This work was supported in part by NSFC Grant 60702030, in part by the wavelets and information processing program under a grant from DSTA, Singapore, in part by RGC 7045/05P and 201508, and in part by HKBU FRGs. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Gabriel Marcu.",

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AU - Ng, Kwok Po

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PY - 2008/11

Y1 - 2008/11

N2 - In this paper, we consider and study a total variation minimization model for color image restoration. In the proposed model, we use the color total variation minimization scheme to denoise the deblurred color image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We show the convergence of the alternating minimization algorithm and demonstrate that the algorithm is very efficient. Our experimental results show that the quality of restored color images by the proposed method are competitive with the other tested methods.

AB - In this paper, we consider and study a total variation minimization model for color image restoration. In the proposed model, we use the color total variation minimization scheme to denoise the deblurred color image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. We show the convergence of the alternating minimization algorithm and demonstrate that the algorithm is very efficient. Our experimental results show that the quality of restored color images by the proposed method are competitive with the other tested methods.

KW - Color image restoration

KW - Deblurring

KW - Denoising

KW - Total variation (TV)

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JO - IEEE Transactions on Image Processing

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Efficient total variation minimization methods for color image restoration

Abstract

Scopus Subject Areas

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