Efficient total variation minimization methods for color image restoration

You Wei Wen*, Kwok Po NG, Yu Mei Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 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 languageEnglish
Pages (from-to)2081-2088
Number of pages8
JournalIEEE Transactions on Image Processing
Volume17
Issue number11
DOIs
Publication statusPublished - 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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