Structure constrained image completion by geometric transformation model and dynamic patches. Issue 7 (16th April 2019)

• Record Type: Journal Article
• Authors: Chen, Qiaochuan; Li, Guangyao; Xie, Li; Xiao, Qingguo; Xiao, Mang
• Is Part Of: Journal of modern optics. Volume 66:Issue 7(2019)
• Page Start: 786
• Page End: 798
• Publication Date: 2019-04-16
• Subjects: Image completion -- image inpainting -- structure constraints -- transformation -- dynamic patches; Optics -- Periodicals; 535
• DOI: 10.1080/09500340.2019.1572808
• Languages: English
• ISSNs: 0950-0340

Abstract

ABSTRACT: Image completion aims to fill in a damaged region (hole) using texture form known regions. In this study, a novel image completion method is proposed that can repair a hole region using preserved structure. A geometric transformation model is first proposed to determine the relation between patches. Then, a multi-layer dynamic patch solution is obtained that can both effectively recover damaged structure and expedite the algorithm. To obtain satisfactory results, image completion is reduced to an energy optimization problem. An objective function is established, and the optimal solution is obtained. The proposed method is applied in various scenes, and the results demonstrate that this method has strong potential as an image completion technique.