Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting
文献类型：期刊论文
| 作者 | Qin, Chuan1; Zhou, Qing1; Cao, Fang2; Dong, Jing3 ; Zhang, Xinpeng4
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| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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| 出版日期 | 2019-11-01 |
| 卷号 | 29期号:11页码:3341-3355 |
| 关键词 | Image coding Encryption Image reconstruction Receivers Transforms Cloud computing Lossy compression image encryption image reconstruction image inpainting |
| ISSN号 | 1051-8215 |
| DOI | 10.1109/TCSVT.2018.2878026 |
| 通讯作者 | Qin, Chuan(qin@usst.edu.cn) |
| 英文摘要 | In this paper, a novel lossy compression scheme for encrypted image based on image inpainting is proposed. In order to maintain confidentiality, the content owner encrypts the original image through a modulo-256 addition encryption and block permutation to mask image content. Then, the third party, such as a cloud server, can compress the selective encrypted image before transmitting to the receiver. During compression, encrypted blocks are categorized into four sets corresponding to different complexity degrees in plaintext domain without the loss of security. By allocating various bit rates to the encrypted blocks from different sets, flexible compression can be achieved with difference quantization. After parsing and decoding the compressed bit stream, the receiver first recovers partial encrypted pixels and then decrypts them. The other missing pixels are further recovered with the assistance of image inpainting based on a total variation model, and the final reconstructed image can be produced. Experimental results demonstrate that the proposed scheme achieves better rate-distortion performance than some of the state-of-the-art schemes. |
| WOS关键词 | DOMAIN |
| 资助项目 | National Natural Science Foundation of China[61672354] ; Open Project Program of the National Laboratory of Pattern Recognition[201600003] ; Open Project Programof the Shenzhen Key Laboratory of Media Security |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000494710600016 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Open Project Program of the National Laboratory of Pattern Recognition ; Open Project Programof the Shenzhen Key Laboratory of Media Security |
| 源URL | [http://ir.ia.ac.cn/handle/173211/28852]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Qin, Chuan |
| 作者单位 | 1.Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai 200093, Peoples R China 2.Shanghai Maritime Univ, Coll Informat Engn, Shanghai 200135, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qin, Chuan,Zhou, Qing,Cao, Fang,et al. Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2019,29(11):3341-3355. |
| APA | Qin, Chuan,Zhou, Qing,Cao, Fang,Dong, Jing,&Zhang, Xinpeng.(2019).Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,29(11),3341-3355. |
| MLA | Qin, Chuan,et al."Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 29.11(2019):3341-3355. |
入库方式： OAI收割
来源：自动化研究所
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