[1] 王进玉. 敦煌莫高窟洞窟现状调查与病害分类[J]. 敦煌研究, 2005( 6): 113- 117.

    Wang JY. The investigation on the current condition of mogao grottoes and the classification of diseases in exist[J]. Dunhuang Research, 2005( 6): 113- 117.

[2] 李丽, 高若婉, 梅树立, 等. 基于Shannon-Cosine小波精细积分法的壁画降噪修复方法[J]. 浙江大学学报(理学版), 2019, 46(3): 279-287.

    Li L, Gao R W, Mei S L, et al. Mural image de-noising based on Shannon-Cosine wavelet precise integration method[J]. Journal of Zhejiang University (Sciences Edition), 2019, 46(3): 279-287.

[3] BertalmioM, SapiroG, CasellesV, et al.Image inpainting[C]//Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques , July 23-28, 2000, New Orleans, LA, USA.New York: ACM Press, 2000: 417- 424.

[4] Shen J H, Chan T F. Mathematical models for local nontexture inpaintings[J]. SIAM Journal on Applied Mathematics, 2002, 62(3): 1019-1043.

[5] Chan T F, Shen J H. Nontexture inpainting by curvature-driven diffusions[J]. Journal of Visual Communication and Image Representation, 2001, 12(4): 436-449.

[6] Criminisi A, Pérez P, Toyama K. Region filling and object removal by exemplar-based image inpainting[J]. IEEE Transactions on Image Processing, 2004, 13(9): 1200-1212.

[7] 陈永, 艾亚鹏, 陈锦. 基于信息熵和结构特性的敦煌壁画修复算法[J]. 激光与光电子学进展, 2020, 57(12): 121020.

    Chen Y, Ai Y P, Chen J. Dunhuang mural inpainting algorithm based on information entropy and structural characteristics[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121020.

[8] Bittens S, Plonka G. Real sparse fast DCT for vectors with short support[J]. Linear Algebra and Its Applications, 2019, 582: 359-390.

[9] Wang H C, Tao C H, Chen S C, et al. High-precision seismic data reconstruction with multi-domain sparsity constraints based on curvelet and high-resolution Radon transforms[J]. Journal of Applied Geophysics, 2019, 162: 128-137.

[10] Aharon M, Elad M, Bruckstein A. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE Transactions on Signal Processing, 2006, 54(11): 4311-4322.

[11] Dong W S, Zhang L, Shi G M, et al. Nonlocally centralized sparse representation for image restoration[J]. IEEE Transactions on Image Processing, 2013, 22(4): 1620-1630.

[12] Zhang J, Zhao D B, Gao W. Group-based sparse representation for image restoration[J]. IEEE Transactions on Image Processing, 2014, 23(8): 3336-3351.

[13] 李非燕, 霍宏涛, 李静, 等. 基于多特征和改进稀疏表示的高光谱图像分类[J]. 光学学报, 2019, 39(5): 0528004.

    Li J, et al. Hyperspectral image classification via multiple-feature-based improved sparse representation[J]. Acta Optica Sinica, 2019, 39(5): 0528004.

[14] 楼幸欣, 唐向宏, 张越. 相似匹配块组的稀疏表示图像修复[J]. 中国图象图形学报, 2019, 24(7): 1055-1066.

    Lou X X, Tang X H, Zhang Y. Sparsity image inpainting algorithm based on similar patch group[J]. Journal of Image and Graphics, 2019, 24(7): 1055-1066.

[15] 练秋生, 石保顺, 陈书贞. 字典学习模型、算法及其应用研究进展[J]. 自动化学报, 2015, 41(2): 240-260.

    . Research advances on dictionary learning models, algorithms and applications[J]. Acta Automatica Sinica, 2015, 41(2): 240-260.

[16] 高成英, 徐仙儿, 罗燕媚, 等. 基于稀疏表示的物体图像修复[J]. 计算机学报, 2019, 42(9): 1953-1965.

    Gao C Y, Xu X E, Luo Y M, et al. Object image inpainting based on sparse representation[J]. Chinese Journal of Computers, 2019, 42(9): 1953-1965.

[17] 程超, 达飞鹏, 王辰星, 等. 基于Lucas-Kanade算法的最大Gabor相似度大姿态人脸识别[J]. 光学学报, 2019, 39(7): 0715005.

    Cheng C, Da F P, Wang C X, et al. Pose invariant face recognition using maximum Gabor similarity based on Lucas-Kanade algorithm[J]. Acta Optica Sinica, 2019, 39(7): 0715005.