Earticle

초록

영어

We propose a novel image inpainting approach in which the exemplar and the sparse representation are combined together skillfully. In the process of image inpainting, often there will be such a situation: although the sum of squared differences (SSD) of exemplar patch is the smallest among all the candidate patches, there may be a noticeable visual discontinuity in the recovered image when using the exemplar patch to replace the target patch. In this case, we cleverly use the sparse representation of image over a redundant dictionary to recover the target patch, instead of using the exemplar patch to replace it, so that we can promptly prevent the occurrence and accumulation of errors, and obtain satisfied results. Experiments on a number of real and synthetic images demonstrate the effectiveness of proposed algorithm, and the recovered images can better meet the requirements of human vision.

목차

Abstract
 1. Introduction
 2. Review of Related Work
 3. Proposed Algorithm
  3.1. Notations
  3.2. Patch Priority Computation
  3.3. Patch Recovery
  3.4. Determination of Thresholds
  3.5. Algorithm Description
 4. Experimental Results
  4.1. Synthetic Images
  4.2. Natural Images
 5. Discussion and Conclusion
  5.1. Discussion
  5.2. Conclusion
 Acknowledgments
 References

키워드

저자

• Lei Zhang [ School of Information Science and Technology, Northwest University, Xi’an 710127, China, Public Computer Teaching Department, Yuncheng University, Yuncheng 044000, China ]
• Baosheng Kang [ School of Information Science and Technology, Northwest University, Xi’an 710127, China ]
• Benting Liu [ School of Information Science and Technology, Northwest University, Xi’an 710127, China ]
• Fei Zhang [ School of Information Science and Technology, Northwest University, Xi’an 710127, China ]

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