A Time Dependent Model via Non-Local Operator for Image Restoration

  • Zhiyong Zuo
  • Xia Lan
  • Gang Zhou
  • Xianwei Liu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 214)


Image is ubiquitous in modern communication. However, during the process like image acquisition and transmission, blur will appear on the reproduced image. This paper presents a time dependent model for image restoration based on the non-local total variation (TV) operator, which is robust to the noise and makes full use of the spatial information distributed in the different image regions. Experiment results demonstrate that the proposed model produces results superior to some existing models in both visual image quality and quantitative measures.


Image restoration Inverse problem Variational model Nonlinear diffusion 



The authors would like to thank Yifei Lou and Xiaoqun Zhang for supplying the Matlab implementation of their algorithm. This work was supported by the Project of the key National Natural Science Foundation of China under Grant No.60736010, No.60902060, and the Defense Advanced Research Foundation of the General Armaments Department of the PLA under Grant No.9140A01060110 JW0515.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.National Key Laboratory of Science and Technology on Multispectral Information ProcessingHuazhong University of Science and TechnologyWuhanChina
  2. 2.School of Mathematics and StatisticsWuhan UniversityWuhanChina

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