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논문검색

The Heuristic Algorithm of Wavelet Image Denoising Based on Rough Set

원문정보

Song Lan, Lei Lixia, Li Haisheng, Hong Wang

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7 No.6 2014.12 pp.221-230
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초록

영어

In this paper, we propose a novel approach to explore image denoising for patch based image process. The importance measurement model of Rough Entropy and the importance reduction method of wavelet coefficients are given. This paper combines the rough set theory with the denoising method of wavelet threshold, regarding the high-frequency information blocks in the transform domain as similar ones, and adopting importance Reduction Methods to contract the coefficients. The simulation results show that this method is effective.

목차

Abstract
 1. Introduction
 2. Rough Entropy and the Concept of Attribute Significance
 3. Basic Theory on the Denoising of Wavelet Threshold
 4. The Heuristic Algorithm of Wavelet Denoising based on Rough Entropy
 5. Simulation Experiment
 6. Conclusion
 Acknowledgements
 References

키워드

저자정보

  • Song Lan State Key Laboraory of Software Engineering, Wuhan University, Wuhan 430072, Hubei, China, Information and Engineering College, East China JiaoTong University, Nanchang 330013, Jiangxi, China
  • Lei Lixia Information and Engineering College, East China JiaoTong University, Nanchang 330013, Jiangxi, China
  • Li Haisheng Information and Engineering College, East China JiaoTong University, Nanchang 330013, Jiangxi, China
  • Hong Wang Nanchang city sports bureau, Nanchang 330000, Jiangxi, China

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