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Fast image inpainting algorithm using color texture distribution analysis

Zhang Qing,Lin Jiajun Research Institute of Automation,East China University of Science and Technology,Shanghai 200237,China  
The computation cost of the current exemplar-based image inpainting algorithms is high due to the fact that the current algorithms compare the exemplar patches with the inpainting patch one after another.In this paper we propose a fast image inpainting algorithm based on color texture distribution analysis which determines the range of exemplar sets according to local texture variances,thus avoiding wasting amount of time searching and comparing with exemplar patches in vain when the examplar patches set is too large and the lack of the diversity when the examplar set is too small.The results show that the presented algorithm can ensure good performance of visually high quality while being consistent with the surrounding textures and greatly improving the computation efficiency greatly.
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