Simultaneous inpainting for image structure and texture using anisotropic heat transfer model

Authors:
Chuan Qin;Shuozhong Wang;Xinpeng Zhang
Affiliations:
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China 200093;School of Communication and Information Engineering, Shanghai University, Shanghai, China 200072;School of Communication and Information Engineering, Shanghai University, Shanghai, China 200072
Venue:
Multimedia Tools and Applications
Year:
2012

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Abstract

We propose a PDE-based image inpainting method using anisotropic heat transfer model, which can simultaneously propagate the structure and texture information. In structure inpainting, the propagating direction and intensity are related to image contents, and the strength of propagation along gradient direction is made inversely proportional to the magnitude of gradient. In texture inpainting, the added texture term reflects periodicity along the texture and its perpendicular direction. For numerical implementation, the step size of finite difference is adaptively chosen according to the curvature, leading to fewer iteration steps and satisfactory inpainting quality. Compared with other high order PDE methods and layered methods, the proposed approach is more concise and doesn't need image decomposition. Experiments are carried out to show effectiveness of the method.