Earticle

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

키워드

저자

• 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605