Indexed by:会议论文
Date of Publication:2011-09-27
Included Journals:EI、Scopus
Page Number:237-242
Abstract:Image inpainting is an important work in the field of image processing. The basic idea of inpainting algorithm is to fill-in regions with available information from their surroundings. In this paper, we propose two image inpainting models based on variational method. The paper shows that the diffusion performance of the proposed models for image inpainting are superior to total variational (TV) model according to the physical characteristics in local coordinates. The experimental results show the effective performance of the proposed models in restoring text removal, scratched photos, and even removal of entire objects from images. ? 2011 IEEE.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Female
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:信息与通信工程学院
Business Address:海山楼A420
Contact Information:lslwf@dlut.edu.cn
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