Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221015(2020)

Algorithm for Dunhuang Mural Inpainting Based on Gabor Transform and Group Sparse Representation

Yong Chen1,2、*, Meifeng Tao1, Yapeng Ai1, and Jin Chen1
Author Affiliations
  • 1School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
  • 2Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, Lanzhou, Gansu 730070, China;
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    References(17)

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    [4] Shen J H, Chan T F. Mathematical models for local nontexture inpaintings[J]. SIAM Journal on Applied Mathematics, 62, 1019-1043(2002).

    [5] Chan T F, Shen J H. Nontexture inpainting by curvature-driven diffusions[J]. Journal of Visual Communication and Image Representation, 12, 436-449(2001).

    [6] Criminisi A, Pérez P, Toyama K. Region filling and object removal by exemplar-based image inpainting[J]. IEEE Transactions on Image Processing, 13, 1200-1212(2004).

    [10] Aharon M, Elad M, Bruckstein A. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE Transactions on Signal Processing, 54, 4311-4322(2006).

    [11] Dong W S, Zhang L, Shi G M et al. Nonlocally centralized sparse representation for image restoration[J]. IEEE Transactions on Image Processing, 22, 1620-1630(2013).

    [15] Research advances on dictionary learning models, algorithms and applications[J]. Acta Automatica Sinica, 41, 240-260(2015).

    [16] Gao C Y, Xu X E, Luo Y M et al. Object image inpainting based on sparse representation[J]. Chinese Journal of Computers, 42, 1953-1965(2019).

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    Yong Chen, Meifeng Tao, Yapeng Ai, Jin Chen. Algorithm for Dunhuang Mural Inpainting Based on Gabor Transform and Group Sparse Representation[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221015

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    Paper Information

    Category: Image Processing

    Received: Mar. 19, 2020

    Accepted: Apr. 20, 2020

    Published Online: Oct. 27, 2020

    The Author Email: Yong Chen (edukeylab@126.com)

    DOI:10.3788/LOP57.221015

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