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
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 ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7 No.6