Yaofei Wang
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JPEG Steganography with Estimated Side-Information
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Impact Factor:5.859

Journal:IEEE Transactions on Circuits and Systems for Video Technology

Key Words:Steganography, JPEG images, minimal distortion, side-information, denoising, deblocking

Abstract:Previous studies have exhibited that incorporating side-information, e.g., a high-quality precover image, can significantly improve steganographic security for JPEG images. This motivates us to estimate the side-information for traditional steganographic scenario in which only a JPEG image is available. It is expected to achieve high-level security by utilizing the estimated side-information similar to side-informed steganography, even though the estimated side-information is not perfectly precise. In this paper, a general framework of side-information estimated (SIE) JPEG steganography is proposed, under which the core problems are how to better estimate the precover and modulate the distortion function correspondingly. To address the two problems, we test several denoising filters and a deblocking filter to obtain the estimated precover, and we introduce two implementation models for modulating the costs. We finally recommend the combination of the deblocking filter and the modulation model using the polarity of the estimated rounding error. The experimental results show that the proposed method dramatically improves the existing additive distortions for images of an arbitrary quality factor and outperforms the state-of-the-art methods based on estimating side-information when resisting modern steganalysis.

Co-author:陈可江,周航,王垚飞,俞能海

First Author:李伟祥

Indexed by:Journal paper

Correspondence Author:张卫明

Discipline:Engineering

Document Type:J

Volume:30

ISSN No.:1051-8215

Translation or Not:no

Included Journals:SCI

Personal information

Associate professor
Supervisor of Master's Candidates

School/Department:计算机与信息学院

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:中国科学技术大学

Honors and Titles:

博士研究生国家奖学金  2020-12-31

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