A Novel Image Restoration Algorithm Based on High-Dimensional Space Geometry

  • Wenming Cao
  • Mei-fen Xie
  • Shoujue Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)


A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and “Principle of Homology Continuity” (PHC), an image is mapped to a point in high-dimensional space. Begin with the original blurred image, we get two further blurred images, then the restored image can be obtained through the regressive curve derived from the three points which are mapped form the images. Experiments have proved the availability of this “blurred-blurred-restored” algorithm, and the comparison with the classical Wiener Filter approach is presented in final.


Image Restoration Degraded Image Deblurred Image IEEE Signal Processing Magazine Neural Network Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wenming Cao
    • 1
    • 2
  • Mei-fen Xie
    • 1
  • Shoujue Wang
    • 2
  1. 1.Institution of Intelligent Information system, College of Information of EngineeringZhejiang University of TechnologyHangzhouChina
  2. 2.Institute of semiconductors of Chinese Academy of ScienceBeijingChina

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