Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (6): 6-10.doi: 10.13190/jbupt.201206.6.liuhy

• Papers • Previous Articles     Next Articles

Research and Application for Fast Restoration of Color Images Algorithm Based on Total Variation Framework

LIU Hai-ying, Wu-Sheng Lu, ZHANG Cheng-jin, MENG Qing-hu   

  1. 1. School of Control Science and Engineering, Shandong University, Jinan 250061, China;2. Department of Electrical and Computer Engineering, University of Victoria, Victoria V8W 3P6, Canada3. Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China
  • Received:2011-11-18 Revised:2012-09-03 Online:2012-12-28 Published:2013-01-07
  • Contact: haiying liu E-mail:liuhaiying918@yahoo.com.cn
  • Supported by:

    RGC Competitive Earmarked Research Grant

Abstract:

Digital images can readily be blurred in various degrees and contaminated by noise during the process of the acquisition and transmission. This inevitably leads to considerable difficulties for the subsequent processing and application of these degraded images. An algorithm that combines an alternating minimization method with a new bisection technique for denoising and within-channel/cross-channel deblurring of the color images is proposed in a total variation energy minimization framework. Experiment demonstrates that, due to the fast convergence of the bisection technique employed, the proposed algorithm is able to quickly determine optimal value of the regularization parameter, thus improving the algorithm’s denoising and deblurring performance as well as adaptation ability.

Key words: denoising, deblurring, total variation, color image

CLC Number: