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The Imaging Science Journal Volume 59, 2011 - Issue 4
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Original Research Paper

Efficient image inpainting using adaptive edge-preserving propagation

C Qin School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology, Shanghai200093, ChinaCorrespondence[email protected]
,
F Cao College of Information EngineeringShanghai Maritime University, Shanghai200135, China;School of Communication and Information Engineering, Shanghai University, Shanghai200072, China
&
X P ZhangSchool of Communication and Information Engineering, Shanghai University, Shanghai200072, China
Pages 211-218 | Accepted 10 Oct 2010, Published online: 12 Nov 2013

Citations (12)

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Read on this site (2)

M. Regeena Jeppiaar. (2015) A Prediction Based Reversible Image Steganographic Algorithm for JPEG Images. Journal of Applied Security Research 10:3, pages 362-374.
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C Qin, C-C Chang, W-B Lee & X P Zhang. (2013) A secure image delivery scheme with regional protection capability using image inpainting and editing. The Imaging Science Journal 61:6, pages 509-517.
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Articles from other publishers (10)

Fang Cao, Jiayi Sun, Xiangyang Luo, Chuan Qin & Ching-Chun Chang. (2021) Privacy-preserving inpainting for outsourced image. International Journal of Distributed Sensor Networks 17:11, pages 155014772110590.
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S. Poonguzhali, Avinash Sharma, V. Vedanarayanan, A. Aranganathan, T. Gomathi & L. Megalan Leo. (2020) A novel joint data-hiding and compression scheme based on SMVQ and image inpainting. Materials Today: Proceedings.
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Xiaolong Liu, Chia-Chen Lin, Khan Muhammad, Fadi Al-Turjman & Shyan-Ming Yuan. (2019) Joint Data Hiding and Compression Scheme Based on Modified BTC and Image Inpainting. IEEE Access 7, pages 116027-116037.
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Cheng-ming Liu, Hai-bo Pang, Liang-pin Ren, Zhe Zhao & Shu-yan Zhang. (2018) An Image Interpolation Method Based on Weighted Subdivision. International Journal of Pattern Recognition and Artificial Intelligence 32:04, pages 1854009.
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Lu Cai & Taewhan Kim. (2015) Context‐driven hybrid image inpainting. IET Image Processing 9:10, pages 866-873.
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Zhuangzhi Yan, Yubiao Sun, Jiehui Jiang, Junling Wen & Xiaoman Lin. (2013) Novel explanation, modeling and realization of Lattice Boltzmann methods for image processing. Multidimensional Systems and Signal Processing 26:3, pages 645-663.
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Yibao Li, Darae Jeong, Jung-il Choi, Seunggyu Lee & Junseok Kim. (2015) Fast local image inpainting based on the Allen–Cahn model. Digital Signal Processing 37, pages 65-74.
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Fredrik Berntsson & George Baravdish. (2014) Coefficient identification in PDEs applied to image inpainting. Applied Mathematics and Computation 242, pages 227-235.
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Chuan Qin, Chin-Chen Chang & Yi-Ping Chiu. (2014) A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image Inpainting. IEEE Transactions on Image Processing 23:3, pages 969-978.
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Chuan Qin, Chin-Chen Chang, Ying-Hsuan Huang & Li-Ting Liao. (2013) An Inpainting-Assisted Reversible Steganographic Scheme Using a Histogram Shifting Mechanism. IEEE Transactions on Circuits and Systems for Video Technology 23:7, pages 1109-1118.
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