Approach to Restoration of Blurring Image Based on Total Variation with Content Aware and Texture Enhancement

Abstract:

In this paper, a new approach to restoration of blurring image with content aware and texture enhancement is presented, in which the content aware term is embedded into the objective function of optimal decision. In this way, the content aware term can play a role to reinforce the restoration effect in the optimal decision. Thus the conventional total variation methodology is employed as a basic tool to solve such optimal decision problem with content aware in its objective function. Meanwhile, the image texture is enhanced by layer decomposition and edge preserving filter. A series of experiment results manifest the proposed algorithm can achieve better restoration effect than the conventional total variation method.

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 602-608
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.602
• Online since: March 2015
• Authors: Dong Yang*, Shi Yin Qin
• Keywords: Image Deblurring, Image Restoration, Image Texture Enhancing

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