An Unequal Image Privacy Protection Method Based on Saliency Detection

• Main Authors: Rongxin Tu, Wenying Wen, Changsheng Hua
• Format: Article
• Language: English
• Published: Hindawi-Wiley 2020-01-01
• Series: Security and Communication Networks
• Online Access: http://dx.doi.org/10.1155/2020/8842376

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.