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Perceptual image hashing with selective sampling for salient structure features
Qin, Chuan1,2; Chen, Xueqin1,2; Dong, Jing3; Zhang, Xinpeng4
Source PublicationDISPLAYS
2016-12-01
Volume45Pages:26-37
SubtypeArticle
AbstractIn this paper, a robust and secure image hashing scheme based on salient structure features is proposed, which can be applied in image authentication and retrieval. In order to acquire the fixed length of image hash, the pre-processing for image regularization is first conducted on input image. Salient edge detection is then applied on the secondary image, and a series of non-overlapping blocks containing the richest structural information in the secondary image are selectively sampled according to the edge binary map. Dominant DCT coefficients of the sampled blocks with their corresponding position information are retrieved as the robust features. After the compression with dimensionality reduction for the concatenated features, the final hash can be produced. Experimental results show that the proposed scheme has better performances of perceptual robustness and discrimination compared with some state-of-the-art schemes. (C) 2016 Elsevier B.V. All rights reserved.
KeywordImage Hashing Structure Feature Selective Sampling Perceptual Robustness Discrimination Security
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
DOI10.1016/j.displa.2016.09.003
WOS KeywordROBUST ; AUTHENTICATION ; DOMAIN
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61672354 ; Innovation Program of Shanghai Municipal Education Commission(14YZ087) ; Open Project Program of the National Laboratory of Pattern Recognition(201600003) ; Open Project Program of Shenzhen Key Laboratory of Media Security ; Shanghai Engineering Center Project of Massive Internet of Things Technology for Smart Home(GCZX14014) ; Hujiang Foundation of China(C14001 ; PAPD Fund ; CICAEET Fund ; 61303203) ; C14002)
WOS Research AreaComputer Science ; Engineering ; Instruments & Instrumentation ; Optics
WOS SubjectComputer Science, Hardware & Architecture ; Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Optics
WOS IDWOS:000390725700004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13381
Collection智能感知与计算研究中心
Affiliation1.Univ Shanghai Sci & Technol, Minist Educ, Shanghai Key Lab Modern Opt Syst, Shanghai 200093, Peoples R China
2.Univ Shanghai Sci & Technol, Minist Educ, Engn Res Ctr Opt Instrument & Syst, Shanghai 200093, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
4.Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China
Recommended Citation
GB/T 7714
Qin, Chuan,Chen, Xueqin,Dong, Jing,et al. Perceptual image hashing with selective sampling for salient structure features[J]. DISPLAYS,2016,45:26-37.
APA Qin, Chuan,Chen, Xueqin,Dong, Jing,&Zhang, Xinpeng.(2016).Perceptual image hashing with selective sampling for salient structure features.DISPLAYS,45,26-37.
MLA Qin, Chuan,et al."Perceptual image hashing with selective sampling for salient structure features".DISPLAYS 45(2016):26-37.
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