14 May 2019 Steganography in stylized images
Nan Zhong, Zhenxing Qian, Zichi Wang, Xinpeng Zhang
Author Affiliations +
Abstract
We propose a steganographic scheme for stylized images. Given a natural image, an image style transfer algorithm is executed twice to produce two similar stylized images with different parameters. One of them is used for embedding and another one is employed as a reference. For the cover image, embedding costs are assigned to measure the detection risk of the modifications. Each embedding cost is then asymmetrically adjusted into two polarity costs to further measure the detection risk of different modification polarities with the guidance of the reference image. After embedding with syndrome-trellis coding, the difference of the stegoimage and the reference image is minimized, which results in a high undetectability against steganalysis. Experimental results also prove that the proposed scheme performs much better than the existing steganographic methods when examined by modern steganalytic tools.
© 2019 SPIE and IS&T 1017-9909/2019/$25.00 © 2019 SPIE and IS&T
Nan Zhong, Zhenxing Qian, Zichi Wang, and Xinpeng Zhang "Steganography in stylized images," Journal of Electronic Imaging 28(3), 033005 (14 May 2019). https://doi.org/10.1117/1.JEI.28.3.033005
Received: 26 December 2018; Accepted: 16 April 2019; Published: 14 May 2019
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CITATIONS
Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Distortion

Steganography

Steganalysis

Linear filtering

Image quality

Multimedia

Image classification

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