Paper
10 January 2014 Graph-based image completion using patch offsets and structure feature
Weiwei Xue, Rong Zhang
Author Affiliations +
Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 906906 (2014) https://doi.org/10.1117/12.2050040
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China
Abstract
Image completion solves the problem of filling missing region by using the information from the same or another image. It is difficult to maintain a balance between visual plausibility and efficiency among the existing algorithms. In this paper, we first propose a novel graph-based approach combining patch offsets and structure feature to get more coherent completion result. We further put forward creatively using a few dominate offsets with an adaptive mechanism of labels and formulate image completion to be a graph-cut optimization problem. Experiments on a wide variety of images show our method yields better results in various challenging cases than state-of-art methods both on visual impact and efficiency.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weiwei Xue and Rong Zhang "Graph-based image completion using patch offsets and structure feature", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906906 (10 January 2014); https://doi.org/10.1117/12.2050040
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Visualization

Optimization (mathematics)

Sun

Image processing

Adaptive control

Computer vision technology

Machine vision

Back to Top