Criminisi Image Inpainting Algorithm Based on Rough Data-Deduction

Ning Zhou; Zhaozhao Zhu

doi:10.3788/LOP56.021005

[1] Bertalmio M, Sapiro G, Caselles V et al. Image inpainting[C]∥SIGGRAPH'00 Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, July 23-28, 2000, Louisiana., 417-424(2000).

[2] Fan Q. Image inpainting based on FMM algorithm[D]. Yangzhou: Yangzhou University, 23-30(2014).

[3] 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).

[4] Zhou Y T, Li L, Xia K W. Research on weighted priority of exemplar-based image inpainting[J]. Journal of Electronics (China), 29, 166-170(2012). http://www.cqvip.com/qk/85266x/201201/42038744.html

[5] Li A J, Niu W L. Image inpainting based on improved Criminisi algorithm[J]. Computer Engineering and Applications, 50, 167-170(2014).

[6] Li Z D, He H J, Yin Z K et al. Adaptive image inpainting algorithm based on patch structure sparsity[J]. Acta Electronica Sinica, 41, 549-554(2013).

[7] Wang X N, Wang Z, Wang Y. Improved Criminisi algorithm based on geometry distance[J]. Computer Engineering and Design, 36, 1835-1839, 1895(2015).

[8] Zhang D, Tang X H, Zhang S P et al. Image inpainting based on combination of wavelet transform and texture synthesis[J]. Journal of Image and Graphics, 20, 882-894(2015).

[9] Bugeau A, Bertalmío M, Caselles V et al. A comprehensive framework for image inpainting[J]. IEEE Transactions on Image Processing, 19, 2634-2645(2010). http://www.ncbi.nlm.nih.gov/pubmed/20435541

[10] Le Meur O, Gautier J, Guillemot C. Examplar-based inpainting based on local geometry. [C]∥2011 18th IEEE International Conference on Image Processing(ICIP). IEEE, September 11-14, 2011, Brussels. New York: IEEE, 3401-3404(2011).

[11] Huang C S, Wang M Q, Guo S M. Curvature-driven exemplar-based image inpainting technique[J]. Journal of Fuzhou University(Natural Science Edition), 40, 322-326(2012).

[12] Zheng X T, Yuan Y, Lu X Q. Single image super-resolution restoration algorithm fromexternal example to internal self-similarity[J]. Acta Optica Sinica, 37, 0318006(2017).

[13] Liu J G, Wu Z P, Liu S Q et al. A merging algorithm for images based on segmentation of feature regions[J]. Journal of Xidian University (Natural Science), 29, 768-771(2002).

[14] Wang H X, Jiang L, Liang R H et al. Exemplar-based image inpainting using structure consistent patch matching[J]. Neurocomputing, 269, 90-96(2017). http://www.sciencedirect.com/science/article/pii/S0925231217309773

[15] Wang W L, Jia Y J. Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka[J]. EURASIP Journal on Image and Video Processing, 38-51(2017). http://link.springer.com/10.1186/s13640-017-0186-1

[16] Su J, Li B, Wang Y Z. Infrared image enhancement based on PCNN segmentation and fuzzy set theory[J]. Acta Optica Sinica, 36, 0910001(2016).

[17] Pawlak Z. Rough sets: theoretical aspects of reasoning about data[M]. Boston: Kluwer Academic Publishers(1991).

[18] Yan S. Rough data-deduction based on the upper approximation and its applications[D]. Beijing: Beijing Jiaotong University, 18-39(2017).

[19] Zhou C H, Wang Z L, Liu S K. Method of image restoration directly based on spatial varied point spread function[J]. Acta Optica Sinica, 37, 0110001(2017).

[20] He F Y, Zhao W. Image registration of synthetic aperture radar including body of water[J]. Acta Optica Sinica, 37, 0928001(2017).