Universal Stego Post-processing for Enhancing Image Steganography
Bolin Chen, Weiqi Luo, Peijia Zheng, Jiwu Huang

TL;DR
This paper introduces a novel post-processing framework that directly modifies stego images to reduce artifacts and improve security, applicable to various steganographic methods in spatial and JPEG domains.
Contribution
It proposes a new post-processing approach based on non-linear integer programming to enhance steganography security by minimizing residual differences.
Findings
Effectively improves security against steganalytic detection
Applicable to both spatial and JPEG domain steganography
Enhances security of modern steganographic methods
Abstract
It is well known that the designing or improving embedding cost becomes a key issue for current steganographic methods. Unlike existing works, we propose a novel framework to enhance the steganography security via post-processing on the embedding units (i.e., pixel values and DCT coefficients) of stego directly. In this paper, we firstly analyze the characteristics of STCs (Syndrome-Trellis Codes), and then design the rule for post-processing to ensure the correct extraction of hidden message. Since the steganography artifacts are typically reflected on image residuals, we try to reduce the residual distance between cover and the modified stego in order to enhance steganography security. To this end, we model the post-processing as a non-linear integer programming, and implement it via heuristic search. In addition, we carefully determine several important issues in the proposed…
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Digital Media Forensic Detection · Chaos-based Image/Signal Encryption
