An Unequal Image Privacy Protection Method Based on Saliency Detection
Joint Authors
Tu, Rongxin
Wen, Wenying
Hua, Changsheng
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Cloud platforms provide a good stage for storing and sharing big image data for users, although some privacy issues arise.
Image encryption technology can prevent privacy leakage and can ensure secure image data sharing on cloud platforms.
Hence, in this paper, an unequal encryption scheme based on saliency detection is proposed.
First, based on the mechanism of visual perception and the theory of feature integration, the visual attention model is employed to realize the recognition of significant regions and insignificant regions.
Then, a dynamic DNA encryption algorithm is proposed to exploit heavyweight encryption for significant regions, while semi-tensor product compressed sensing is introduced to exploit lightweight encryption and compression for insignificant regions.
Experimental results demonstrate that the proposed framework can serve to secure big image data services.
American Psychological Association (APA)
Tu, Rongxin& Wen, Wenying& Hua, Changsheng. 2020. An Unequal Image Privacy Protection Method Based on Saliency Detection. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1208697
Modern Language Association (MLA)
Tu, Rongxin…[et al.]. An Unequal Image Privacy Protection Method Based on Saliency Detection. Security and Communication Networks No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1208697
American Medical Association (AMA)
Tu, Rongxin& Wen, Wenying& Hua, Changsheng. An Unequal Image Privacy Protection Method Based on Saliency Detection. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1208697
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208697