Yaofei Wang
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Paper Publications
Non-Additive Cost Functions for Color Image Steganography Based on Inter-Channel Correlations and Differences
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Impact Factor:7.231

DOI number:10.1109/TIFS.2019.2956590

Journal:IEEE Transactions on Information Forensics and Security

Key Words:Color image steganography, steganalysis, inter-channel correlation, non-additive cost

Abstract:Despite the strong presence of color images for communication, scholars have mainly devoted their attention to research on steganography for grayscale images. In contrast to grayscale images, color images have three interrelated color channels, and the relationships among the three channels have a strong impact on the steganography security. In this paper, we present a steganographic scheme for spatial color images by exploiting the correlations and differences between the color channels. We find that the G channel has a stronger correlation with R and B than the one between R and B, and thus, synchronizing the modification directions of the R and B channels with those from the G channel will have better resistance to detection. In addition, the payload capacity and the distribution of complex regions between channels are different. Based on these findings, we design a new strategy for defining non-additive costs for color image steganography, called G-channel-related Inter-channel Non-Additive (GINA) strategy. The GINA strategy can make the modification directions of the R and B channels consistent with those of the G channel and can adaptively distribute the embedding capacity between the three channels. Specifically, this strategy will not violate the Complexity Prior rule. The experimental results show that the proposed GINA strategy can significantly improve the performance in terms of resisting color image steganalysis compared with previous methods.

Note:信息安全领域顶级期刊

Co-author:李伟祥,于心智,俞能海

First Author:王垚飞

Indexed by:Journal paper

Correspondence Author:张卫明

Page Number:2081 - 2095

ISSN No.:1556-6013

Translation or Not:no

Included Journals:SCI

Links to published journals:https://ieeexplore.ieee.org/document/8917610/

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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