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Improved block Kalman filter for degraded image restoration

  • Harbin Institute of Technology Shenzhen
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper is mainly concerned with the problem of how to set the initial conditions of two-dimensional(2-D) block Kalman filter on degraded image for image restoration. The proposed approach incorporates layering and interpolation process into the degraded image that has been corrupted by blur and additive noise. The innovation of this paper are setting reasonable filtering initial conditions which are associated with image information and increase interpolation operation with edge protection function. Compared with the reported paper, the presented method gives a sharper restored image, especially, which has little ringing distortions near the boundaries.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
PublisherIEEE Computer Society
Pages1958-1962
Number of pages5
ISBN (Print)9780769550886
DOIs
StatePublished - 2014
Externally publishedYes
Event15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013 - Zhangjiajie, Hunan, China
Duration: 13 Nov 201315 Nov 2013

Publication series

NameProceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013

Conference

Conference15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013
Country/TerritoryChina
CityZhangjiajie, Hunan
Period13/11/1315/11/13

Keywords

  • 2-D block Kalman filter
  • Image restoration
  • interpolation
  • layering

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