Earticle

초록

영어

In this paper, we firstly propose a new image restoration model including non-smooth l1-norm data-fidelity term and non-smooth l1-norm regularization term based on the bilateral total variation regularization. Secondly, we prove the existence of minimal solutions of our proposed energy functional model. Thirdly, we consider the convergence of the discrete numerical algorithm, and obtain that the limit point of the solution sequence is the minimal point of our proposed energy functional. Finally, we give some experimental simulation results in the case of the single noisy image without blurring, multiple different noisy images without blurring, single noisy image with blurring, and multiple different noisy images with different blurring, respectively. The restoration results show our model works effectively.

목차

Abstract
 1. Introduction
 2. Bilateral Total Variation-Based Image Restoration Model
 3. Existence of Minimal Solutions of Energy Functional (2.3)
 4. Convergence of Discrete Numerical Algorithm
  4.1 Minimal Solution of Relaxation Energy Functional (3.1)
  4.2 Minimal Solution of the Energy Functional (2.3)
 5. Numerical Experimental and Simulation Results
 6. Discussion and Conclusion
 Acknowledgments
 References

키워드

저자

• Ruihua Liu [ School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, China, 400050, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 100090 ]

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