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논문검색

Blind Separation of Permuted Alias Image with Motion Blurred Using Image Enhancement in NSCT Domain

초록

영어

Focused on the issue that motion blurred permuted alias image blind separation, an algorithm using image enhancement based on nonsubsampled contourlet transform (NSCT) domain was proposed. Firstly, permuted alias image was decomposed into low-frequency sub-band and high-frequency sub-bands, which were obtained by spare decomposition based on NSCT domain. Coefficients of high-frequency sub-bands were enhanced according to Bayesian shrinkage threshold and nonlinear gain function, and the enhanced version was got by this method. Then the permuted alias image and the enhanced version were blocked, the correlation coefficients were estimated by each corresponding sub-block, because the permuting image was changed larger, the permuting image could be separated by using threshold method. Experimental results show that the proposed algorithm can separate the permuting image effectively from the permuted alias image in spite of the motion blurred direction, blur degree, size, location and the number of permuting image.

목차

Abstract
 1. Introduction
 2. Permuted Alias Image Mode
 3. The Basic Principle of NSCT and Definition of the CorrelationCoefficients
  3.1. The Basic Principle of NSCT
  3.2. The Definition of the Correlation Coefficient
  3.3. Image Enhancement based on NSCT Domain
 4. The Proposed Approach
 5. Results and Discussion
  5.1. Experiment 1: The Blind Separation with the Different Location and Different Size of the Permuting Image
  5.2. Experiment 2: The Blind Separation with the Different Direction and Different Number of the Permuting Image
  5.3. Experiment 3: The Blind Separation with the Different Blur Degree of the Permuting Image
  5.4. Experiment 4: Blind Separation with the Noise of the Permuting Image
 6. Conclusion
 Acknowledgements
 References

저자정보

  • DUAN Xin-tao College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China, Engineering Lab of Intelligence Business & Internet of Things, Henan Province, Xinxiang 453007, China
  • WANG Jing-juan College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China, Engineering Lab of Intelligence Business & Internet of Things, Henan Province, Xinxiang 453007, China
  • PENG Tao College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China
  • LI Fei-fei College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China
  • LIU Shang-Wang College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China, Engineering Lab of Intelligence Business & Internet of Things, Henan Province, Xinxiang 453007, China
  • LIU Tuan-ning College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China

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