Abstract
A novel scheme for high-capacity separable data hiding in an encrypted image based on compressive sensing (CS) is presented. First, the original image is converted to the DC coefficient matrix, AC coefficient matrix and information embedding matrix by block discrete cosine transform. In the encryption phase, different encryption algorithms are applied on the DC matrix and the AC coefficient matrix, respectively. In the data hiding phase, the secret data is embedded in the reserved location of the encrypted image. After compressive sensing, the encrypted image with embedded data is generated. For the receiver, the way to obtain image content or/and additional data is separable according to the keys he owns. Experimental results show that the proposed method has the merits of high-capacity, anti-packet loss and cipher text compressibility.
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References
Candes E, Tao T (2006) Near-optimal signal recovery from random projections: universal encoding strategies? IEEE Trans Inf Theory 52(12):5406–5425
Chen R, Horng S, Huang P (2015) Anti-forensic steganography using multi-bit MER with flexible bit location. Int J Ad Hoc Ubiquitous Comput 18(1/2):54–66
Gao Z, Xiong C, Ding L, Zhou C (2013) Image representation using block compressive sensing for compression applications. J Vis Commun Image Represent 24(7):885–894
Hong W, Chen T, Wu H (2012) An improved reversible data hiding in encrypted images using side match’. IEEE Signal Process Lett 19(4):199–202
Horng S, Farfoura M, Fan P et al (2014) A low cost fragile watermarking scheme in H.264/AVC compressed domain. Multimed Tools Appl 72(3):2469–2495
Horng S, Rosiyadi D, Fan P et al (2014) An adaptive watermarking scheme for e-government document images. Multimed Tools Appl 72(3):3085–3103
Horng S, Rosiyadi D, Li T et al (2013) A blind image copyright protection scheme for e-government. J Vis Commun Image Represent 24(7):1099–1105
Horng S, Tzeng S, Huang P et al (2015) An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks. Inf Sci 371(1):48–66
Khan M (2011) Research advances in data hiding for multimedia security. Multimed Tools Appl 52(2):257–261
Lin W, Horng S, Kao T et al (2008) An efficient watermarking method based on significant difference of wavelet coefficient quantization. IEEE Trans Multimed 10(5):746–757
Lin W, Horng KT et al (2009) Image copyright protection with forward error correction. Expert Syst Appl 36(9):11888–11894
Lin W, Wang Y, Horng S et al (2009) A blind watermarking method using maximum wavelet coefficient quantization. Expert Syst Appl 36(9):11509–11516
Lin W, Wang Y, Horng S (2009) A wavelet-tree-based watermarking method using distance vector of binary cluster. Expert Syst Appl 36(6):9869–9878
Qin C, Chang CC, Huang YH et al (2013) An inpainting-assisted reversible steganographic scheme using a histogram shifting mechanism[J]. IEEE Trans Circuits Syst Video Technol 23(7):109–1118
Qin C, Chang C, Chen Y (2013) Efficient reversible data hiding for VQ-compressed images based on index mapping mechanism. Signal Process 93(9):2687–2695
Rosiyadi D, Horng S, Fan P et al (2012) An efficient copyright protection scheme for e-government document images. IEEE Multimed 19(3):62–73
Xia Z, Wang X, Sun X, Wang Q (2015) Secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans Parallel Distrib Syst. doi:10.1109/TPDS.2015.2401003
Xiao D, Chen S (2014) Separable data hiding in encrypted image based on compressive sensing. Electron Lett 50(8):598–600
Zhang X (2012) Separable reversible data hiding in encrypted image. IEEE Trans Inf Forensics Secur 7(2):826–832
Zhang X, Qian Z, Feng G, Ren Y (2014) Efficient reversible data hiding in encrypted images. J Vis Commun Image Represent 25(2):322–328
Zhang X, Ren Y, Feng G et al (2011) Compressing encrypted image using compressive sensing. 2011 Seventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IEEE Computer Society. pp. 222–225
Acknowledgments
The work was supported by the National Natural Science Foundation of China (Grant Nos. 61173178, 61272043, 61302161, 61472464, 61502399, 61572089), the Natural Science Foundation of Chongqing Science and Technology Commission (Grant Nos. cstc2012jjA40017, cstc2013jcyjA40017, cstc2013jjB40009), the open research fund of Chongqing Key Laboratory of Emergency Communications (Grant No. CQKLEC, 20140504) and Project Nos. 106112013CDJZR180005, 106112014CDJZR185501 supported by the Fundamental Research Funds for the Central Universities.
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Xiao, D., Cai, H., Wang, Y. et al. High-capacity separable data hiding in encrypted image based on compressive sensing. Multimed Tools Appl 75, 13779–13789 (2016). https://doi.org/10.1007/s11042-015-2922-9
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DOI: https://doi.org/10.1007/s11042-015-2922-9