Indexed by: 期刊论文

Date of Publication: 2015-07-20

Journal: Journal of Information and Computational Science

Included Journals: EI、Scopus

Document Type: J

Volume: 12

Issue: 11

Page Number: 4349-4356

ISSN No.: 15487741

Abstract: Image inpainting is the process of filling in missing parts of damaged images based on information gleaned from surrounding areas. It is a difficult problem of solving the length term with Mumford-Shah model. Therefore, an image inpainting method is proposed based on a convex variant of the Mumford-Shah model and Split-Bregman algorithm, which increases the diffusion ability of the model in the texture and the smooth regions of an image area. In addition to fill the whole area of information loss, the algorithm can also removal defect on the external information noise area. Experimental results showed that the proposed method is a more Effective repair than the traditional classical method for the image text removal, scratch repair, etc. ?, 2015, Binary Information Press. All right reserved.