Abstract
This paper proposes a joint scheme of data hiding and style transfer, which embeds secret data during the procedure of transferring natural images into comic styles. While most data hiding algorithms employ clean images as covers, we employ the processed images that are popular on social networks. The style transfer based data hiding includes two phases. In the first phase, we brighten the image and remove the details by enhancing the saturation and smoothing the content. In the second phase, we propose an edge marker embedding based algorithm to enhance the contours and generate comic-style stego images. Experimental results show that the proposed approach provides a large embedding capacity and a good capability of resisting steganalysis.
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References
Celik, M.U., Sharma, G., Tekalp, A.M., et al.: Lossless generalized-LSB data embedding. IEEE Trans. Image Process. 14(2), 253 (2005)
Li, J., Li, X., Yang, B.: Reversible data hiding scheme for color image based on prediction-error expansion and cross-channel correlation. Sig. Process. 93(9), 2748–2758 (2013)
Qiu, Y., Qian, Z., Yu, L.: Adaptive reversible data hiding by extending the generalized integer transformation. IEEE Signal Process. Lett. 23(1), 130–134 (2015)
Ni, Z., Shi, Y.Q., Ansari, N., et al.: Reversible data hiding. IEEE Trans. Circuits Syst. Video Technol. 16(3), 354–362 (2004)
http://imagedatabase.cs.washington.edu/groundtruth/cambridge/
Fridrich, J., Goljan, M., Du, R.: Reliable detection of LSB steganography in color and grayscale images. In: Mm & Sec Proceedings of the Workshop on Multimedia & Security New Challenges, vol. 8, pp. 22–28 (2002)
Pandey, R., Singh, A.K., Kumar, B., et al.: Iris based secure NROI multiple eye image watermarking for teleophthalmology. Multimedia Tools Appl. 75(22), 1–17 (2016)
Parah, S.A., Sheikh, J.A., Ahad, F., et al.: Information hiding in medical images: a robust medical image watermarking system for E-healthcare. Multimedia Tools Appl. 76(8), 10599–10633 (2017)
Fridrich, A.J., Goljan, M., Du, R.: Lossless data embedding for all image formats. Proc. SPIE - Int. Soc. Opt. Eng. 4675, 572–583 (2002)
Hou, D., Wang, H., Zhang, W., et al.: Reversible data hiding in JPEG image based on DCT frequency and block selection. Signal Processing (2018)
Wedaj, F.T., Kim, S., Kim, H.J., et al.: Improved reversible data hiding in JPEG images based on new coefficient selection strategy. Eurasip J. Image Video Process. 2017(1), 63 (2017)
Acknowledgements
This work was supported by Natural Science Foundation of China (Grant 61502009, Grant U1536109, Grant 61572308, Grant U1536108, Grant U1736213, Grant U1636206, Grant 61525203, Grant 61472235), Foundation of China Scholarship Council (Grant 201706505004), the Shanghai Dawn Scholar Plan (Grant 14SG36), and the Shanghai Excellent Academic Leader Plan (Grant 16XD1401200).
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Puyang, Y., Qian, Z., Yin, Z., Zhang, X. (2018). Style Transferring Based Data Hiding for Color Images. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11066. Springer, Cham. https://doi.org/10.1007/978-3-030-00015-8_38
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DOI: https://doi.org/10.1007/978-3-030-00015-8_38
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