Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting

doi:10.1109/TCSVT.2018.2878026

CASIA OpenIR > 模式识别实验室

	Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting
	Qin, Chuan 1; Zhou, Qing 1; Cao, Fang 2; Dong, Jing3 ; Zhang, Xinpeng 4
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN	1051-8215
	2019-11-01
卷号	29 期号:11 页码:3341-3355
通讯作者	Qin, Chuan(qin@usst.edu.cn)
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.
关键词	Image coding Encryption Image reconstruction Receivers Transforms Cloud computing Lossy compression image encryption image reconstruction image inpainting
DOI	10.1109/TCSVT.2018.2878026
关键词[WOS]	DOMAIN
收录类别	SCI
语种	英语
资助项目	Open Project Programof the Shenzhen Key Laboratory of Media Security ; Open Project Program of the National Laboratory of Pattern Recognition[201600003] ; National Natural Science Foundation of China[61672354] ; 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
项目资助者	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
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000494710600016
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：47[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28853
专题	模式识别实验室
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.