Image restoration based on PDEs and a non-local algorithm

Lei Xu, Xiaoling Zhang, Kin Man Lam, Jin Xie

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Image restoration based on partial differential equations (PDEs) is an effective approach. However, most of the methods are based on using a local window, such as a 3×3 mask, operating on images. As a consequence, the anisotropic diffusion process seeks the local mode of a density when performing repeatedly, which may degrade the image details. However, a non-local (NL) algorithm can take advantage of all the possible self-predictions provided by the image. In this paper, image restoration based on PDEs is discussed and a NL algorithm is proposed. Experiments show that this method using the NL algorithm can improve the performance efficiently and significantly.
Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
Number of pages10
EditionPART 2
Publication statusPublished - 9 Nov 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: 21 Sept 201024 Sept 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6298 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th Pacific Rim Conference on Multimedia, PCM 2010


  • anisotropic diffusion
  • Image restoration
  • non-local algorithm

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science


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