Research on the principle of homology-continuity in image degradation

  • Authors:

  • Liang Chen;Weijun Li;Chen Chen

  • Affiliations:

  • Lab of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China;Lab of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China;Lab of Artificial Neural Networks, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

Image restoration is the inverse process of image degradation. Based on the general imaging model to represent image degradation, various restoration algorithms have been designed. However, none of these algorithms have taken into account the inherent properties of Homology-Continuity in the image degradation process. Such neglect leads to the ill-posedness and detail loss that can not be completely overcome by the traditional image restoration. In this paper, according to the Principle of Homology-Continuity (PHC) proposed in High Dimensional Biomimetic Informatics, we will offer insight into image degradation process and discuss the advantages of the corresponding restoration algorithm.