A new cost function for spatial image steganography based on 2D-SSA and WMF
Xie, Guoliang and Ren, Jinchang and Marshall, Stephen and Zhao, Huimin and Li, HuiHui (2021) A new cost function for spatial image steganography based on 2D-SSA and WMF. IEEE Access, 9. pp. 30604-30614. ISSN 2169-3536 (https://doi.org/10.1109/ACCESS.2021.3059690)
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Abstract
As an essential tool for secure communications, adaptive steganography aims to communicate secret information with the least security cost. Inspired by the Ranking Priority Profile (RPP), we propose a novel two-step cost function for adaptive steganography in this paper. The RPP mainly includes three rules, i.e. Complexity-First rule, the Clustering rule and the Spreading rule, to design a cost function. We use the two-dimensional Singular Spectrum Analysis (2D-SSA) and Weighted Median Filter (WMF) in designing the two-step cost function. The 2D-SSA is employed in selecting the key components and clustering the embedding positions, which follows the Complexity-First rule and the Clustering rule. Also, we deploy the Spreading rule to smooth the resulting image produced by 2D-SSA with WMF. Extensive experiments have shown the efficacy of the proposed method, which has improved performance over four benchmarking approaches against non-shared selection channel attack. It also provides comparable performance in selection-channel-aware scenarios, where the best results are observed when the relative payload is 0.3 bpp or larger. Besides, the proposed approach is much faster than other model-based methods.
ORCID iDs
Xie, Guoliang, Ren, Jinchang, Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628, Zhao, Huimin and Li, HuiHui;-
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Item type: Article ID code: 75484 Dates: DateEvent18 February 2021Published11 February 2021AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling Technologies
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 18 Feb 2021 11:23 Last modified: 11 Nov 2024 12:59 URI: https://strathprints.strath.ac.uk/id/eprint/75484