[1] Bertalmio M, Sapiro G, Caselles V et al. Image inpainting[C], 417-424(2000).

[2] Jam J, Kendrick C, Walker K et al. A comprehensive review of past and present image inpainting methods[J]. Computer Vision and Image Understanding, 203, 103147(2021).

[3] Isola P, Zhu J Y, Zhou T H et al. Image-to-image translation with conditional adversarial networks[C], 5967-5976(2017).

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

[7] Cheng H, Zhang Q Y, Shen C et al. Dual-camera phase retrieval based on registration restoration[J]. Acta Optica Sinica, 41, 1210002(2021).

[8] Cheng W H, Hsieh C W, Lin S K et al. Robust algorithm for exemplar-based image inpainting[EB/OL]. https://www.cmlab.csie.ntu.edu.tw/new_cml_website/media/publications/Cheng-2005-RAE.pdf

[9] Cao J F, Li Y F, Zhang Q et al. Restoration of an ancient temple mural by a local search algorithm of an adaptive sample block[J]. Heritage Science, 7, 1-14(2019).

[10] Zhang Z Y, Zhou H. Research on inpainting algorithm of digital murals based on enhanced structural information[J]. Journal of System Simulation, 34, 1524-1531(2022).

[11] Chen Y T, Zhang H P, Liu L W et al. Research on image inpainting algorithm of improved total variation minimization method[J]. Journal of Ambient Intelligence and Humanized Computing, 1-10(2021).

[12] Li C, Chen H, Han X et al. An improved Criminisi method for image inpainting[J]. Journal of Physics: Conference Series, 2253, 012023(2022).

[13] Abdulla A A, Ahmed M W. An improved image quality algorithm for exemplar-based image inpainting[J]. Multimedia Tools and Applications, 80, 13143-13156(2021).

[14] Wang W Z, Deng N, Xin B J et al. Research on texture image inpainting of jacquard fabric based on non-single vision[J]. Textile Research Journal, 90, 1462-1476(2020).

[15] Zhu Y L, Li Z Y, Wu T. Image restoration for regular ancient fabric texture[J]. Cotton Textile Technology, 45, 9-12(2017).

[16] Jiang C, Wang J J, Yu L. Research on a digital restoration method for textile cultural relics[J]. Journal of Silk, 56, 21-25(2019).

[17] He Y T, Tang X H, Zhang Y et al. Improved Criminisi algorithm based on structure tensor[J]. Journal of Image and Graphics, 23, 1492-1507(2018).

[18] Wong J A H A. Algorithm AS 136: a k-means clustering algorithm[J]. Journal of the Royal Statistical Society, 28, 100-108(1979).

[19] Yu X R. An overview of the development of Chinese embroidered clothing in the past dynasties[C](2018).

[20] Connolly C, Fleiss T. A study of efficiency and accuracy in the transformation from RGB to CIELAB color space[J]. IEEE Transactions on Image Processing, 6, 1046-1048(1997).

[21] Ren S, Tang X H, Kang J L. An image inpainting algorithm combined with texture and edge features[J]. Journal of Computer-Aided Design & Computer Graphics, 25, 1682-1693(2013).

[22] Liu H M, Bi X H, Lu G M et al. Exemplar-based image inpainting with multi-resolution information and the graph cut technique[J]. IEEE Access, 7, 101641-101657(2019).

[23] Horé A, Ziou D. Image quality metrics: PSNR vs. SSIM[C], 2366-2369(2010).

[24] Owen J, Hou X L[M]. Examples of Chinese ornament, 99(2016).

[25] Que B F, Fan J M[M]. History of court embroidery in Ming Dynasty, 99(2015).

[26] Zhao Z K. Research on digital image inpainting technology[D](2016).

[27] Shen K, Liu S D, Shi J H et al. Dual-domain neural network for sparse-view photoacoustic image reconstruction[J]. Chinese Journal of Lasers, 49, 0507208(2022).

[28] Wang M Y, Meng X C, Shao F et al. SAR-assisted optical remote sensing image cloud removal method based on deep learning[J]. Acta Optica Sinica, 41, 1228002(2021).

[29] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004).

[30] Zhang L, Zhang L, Mou X Q et al. FSIM: a feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing, 20, 2378-2386(2011).