J4 ›› 2012, Vol. 39 ›› Issue (1): 86-91.doi: 10.3969/j.issn.1001-2400.2012.01.016

• Original Articles • Previous Articles     Next Articles

Higher-order nonlocal variational model

LI Yafeng1,2;FENG Xiangchu1
  

  1. (1. School of Science, Xidian Univ., Xi'an  710071, China;
    2. Dept. of Computer Sci., Baoji Univ. of Arts and Sci., Baoji  721007, China)
  • Received:2010-10-24 Online:2012-02-20 Published:2012-04-06
  • Contact: LI Yafeng E-mail:xcfeng@mail.xidian.edu.cn

Abstract:

To describe the nonlocal structure of images better and remove noise, this paper proposes a higher-order nonlocal variational model by defining a new weighted function. Theoretical analysis and numerical experiments are presented to demonstrate the performance of the proposed model, which is better than the original in terms of both PSNR and visual perception. As a result, the new model keeps the advantages of the nonlocal variational model, while it can preserve image features better.

Key words: nonlocal mean, variational model, denoising

CLC Number: 

  • TN911