期刊论文

Chen, Yuantao

英文

Journal of Ambient Intelligence and Humanized Computing

1868-5137

2021

10.1007/s12652-020-02778-2

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61972056, 61772454, 61402053]; Hunan Provincial Natural Science Foundation of ChinaNatural Science Foundation of Hunan Province [2020JJ4623]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [17A007, 19C0028, 19B005]; Changsha Science and Technology Planning [KQ1703018, KQ1706064, KQ1703018-01, KQ1703018-04]; Junior Faculty Development Program Project of Changsha University of Science and Technology [2019QJCZ011]; "Double First-class" International Cooperation and Development Scientific Research Project of Changsha University of Science and Technology [2019IC34]; Practical Innovation and Entrepreneurship Ability Improvement Plan for Professional Degree Postgraduate of Changsha University of Science and Technology [SJCX202072]; Postgraduate Training Innovation Base Construction Project of Hunan Province [2019-248-51, 2020-172-48]; Beidou Micro Project of Hunan Provincial Education Department [149]

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In order to solve the issue mismatching and structure disconnecting in exemplar-based image inpainting, an image completion algorithm based on improved total variation minimization method had been proposed in the paper, refer as ETVM. The structure of image had been extracted using improved total variation minimization method, and the known information of image is sufficiently used by existing methods. The robust filling mechanism can be achieved according to the direction of image structure and it has less noise than original image. The priority term had been redefined to eliminate the produc...