Robust Image Steganography Against General Downsampling Operations With Lossless Secret Recovery

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING(2024)

引用 1|浏览52
暂无评分
摘要
Resisting the operations in lossy channels is a challenge for image steganography. In this article, we propose a novel robust steganographic method to resist the image downsampling operation. Unlike the existing schemes, our method guarantees lossless secret recovery from the stego-image after general image downsampling operations, which considers the undetectability of the stego-images on both sides (sender and receiver) of the lossy channel. We first downsample the cover image to get its downsampled version on the receiver side, and select a set of embeddable pixels (i.e., the pixels that can be modified for data embedding) from the downsampled image. Then, we generate a stego-image on the receiver side (termed as the receiver stego-image) such that the distortion caused by the data embedding is minimized. Based on the receiver stego-image, we modify the cover image to produce the stego-image on the sender side (termed as the sender stego-image). The modification takes the embedding cost into account and makes sure that the downsampled version of the sender stego-image produces the same embeddable pixels as the receiver stego-image. Experimental results show that our method performs significantly better than the existing schemes in terms of robustness and undetectability for resisting general image downsampling operations.
更多
查看译文
关键词
Receivers,Costs,Steganography,Propagation losses,Data mining,Servers,Distortion,Image downsampling,robust,steganography
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要