Separable data hiding in encrypted image based on compressive sensing and discrete fourier transform

• Published in: Multimedia tools and applications Vol. 76; no. 20; pp. 20739 - 20753
• Main Authors: Liao, Xin, Li, Kaide, Yin, Jiaojiao
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2017; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Data Structures and Information Theory; Encryption; Fourier transforms; Image quality; Multimedia Information Systems; Signal processing; Special Purpose and Application-Based Systems; Reversible data hiding; Discrete fourier transform; Compressive sensing; Encrypted images
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-016-3971-4

Reversible data hiding in encrypted images has become an effective and popular way to preserve the security and privacy of users’ personal images. Recently, Xiao et al. firstly presented reversible data hiding in encrypted images with use of the modern signal processing technique compressive sensing (CS). However, the quality of decrypted image is not great enough. In this paper, a new method of separable data hiding in encrypted images are proposed by using CS and discrete fourier transform, which takes full advantage of both real and imaginary coefficients for ensuring great recovery and providing flexible payload. Compared with the original work, the proposed method can obtain better image quality when concealing the same embedding capacity. Furthermore, image decryption and data extraction are separable in the proposed method, and the secret data can be extracted relatively accurately.