In order to solve the problem that the present logging image reconstruction algorithm has certain staircase effect and ring effect during the discrete Poisson noise image repair process, a noise reduction algorithm based on Schatten matrix operator for discrete Poisson logging image is proposed in this article. Specifically, Schatten norm matrix of Hessian operator is adopted to estimate each pixel value of the image, and meanwhile the non-quadratic regularization function is adopted to eliminate the staircase effect; then Poisson measurement model is integrated with Schatten regularization function to construct the minimum objective function; then norm proximal mapping estimation algorithm is defined and is adopted to decouple the data fidelity item and the regularization matrix in the objective function, thus to recover the image. The simulation result shows: compared with present denoising technology, the algorithm proposed in this article has better repair effect and greater similarity in the aspect of processing the discrete Poisson noise.
목차
Abstract 1. Introduction 2. Degradation Model 3. Matrix Operator Regularization 3.1. Sp Norm Matrix 3.2. Regularization of Hessian Operator and Matrix Operator 4. Poisson Image Reconstruction Algorithm Design 4.1. Punishment ML Estimation Value 4.2. Decoupling of Data Fidelity Item and Regularization Matrix 5. Enclosure Form of Approximate Mapping of Sp Norm ( p = 1,2,∞) 6. Simulation Result and Analysis 6.1. Noise Reduction Effect of Discrete Poisson Logging Image 6.2. Contrastive Analysis of Structure Similarity SSIM 7. Conclusion Acknowledgement References
Zhang Jian [ College of Computer science, Yangtze University, HuBei Jing Zhou, 434023 China, Information Engineering School, Wuhan University of Technology, HuBei WuHan, 430070 China ]
Yang Jie [ Information Engineering School, Wuhan University of Technology, HuBei WuHan, 430070 China ]
Zhang bin [ Information Engineering School, Wuhan University of Technology, HuBei WuHan, 430070 China ]
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
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 Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.11 No.3