Earticle

초록

영어

In Bilateral Total Variation (BTV) regularized super-resolution reconstruction (SRR), the fidelity item is only applicable to a specific noise model, and the fixed weight of BTV regularization term cannot adapt to the changes in an image. Thus, this paper proposes a SRR algorithm based on the Tukey fidelity term and adaptive BTV regularization term. The Tukey fidelity term has a more effective outliers suppression feature to deal with complex noises, and the weight of adaptive BTV regularization term can resize itself according to the changes of image textures, which can achieve the purposes of suppressing noises and preserving edges. Experimental results show that, compared with other algorithms, the proposed algorithm has better vision effects and higher Peak Signal-to-noise Ratio (PSNR) values.

목차

Abstract
 1. Introduction
 2. Image Observation Model and Super-Resolution Reconstruction
 3. Tukey Norm
 4. SRR Algorithm Based on BTV Regularization
 5. SRR Algorithms based on Tukey Norm Fidelity Term and Adaptive BTV Regularization
 6. Experimental Results and Analysis
 7. Conclusion
 References

키워드

저자

• Jie Shen [ College of Computer and Information Engineering, HoHai University, Nanjing, China, College of communication engineering, PLA University of Science and Technology, Nanjing, China ]
• Feng Xu [ College of Computer and Information Engineering, HoHai University, Nanjing, China ]
• Mengxi Xu [ School of Computer Engineering, Nanjing Institute of Technology, Nanjing , China ]
• Yun Yang [ College of Computer and Information Engineering, HoHai University, Nanjing, China ]
• Ruili Wang [ School of Engineering and Advanced Technology, Massey University, Auckland, New Zealand ]
• Lili Zhang [ College of Computer and Information Engineering, HoHai University, Nanjing, China ] Corresponding Author

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