4.6 Article

On the fault-tolerant performance for a class of robust image steganography

Journal

SIGNAL PROCESSING
Volume 146, Issue -, Pages 99-111

Publisher

ELSEVIER
DOI: 10.1016/j.sigpro.2018.01.011

Keywords

Robust steganography; JPEG compression resistant; Statistical detection resistant; Fault-tolerant performance; RS codes; STC codes

Funding

  1. National Natural Science Foundation of China [U1636201, U1636219, 61572052, 61672354, 61772549]
  2. National Key Research and Development Program of China [2016YFB0801303, 2016QY01W0105]
  3. Key Science and Technology Research and Development Program of Henan Province of China [162102210032]

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The mainstream adaptive steganography algorithms often cannot transmit secret messages correctly when stego images suffer from JPEG compression. In this respect, researchers proposed a series of robust adaptive steganography methods based on the framework of Compression-resistant Domain Constructing + RS-STC Codes in previous studies. However, these methods leave behind the fault tolerance analysis, resulting in potential mistakes in extracted messages, which brings uncertainty to practical application. To solve this problem, an error model based on burst errors and STCs decoding damage is given in this manuscript, utilizing the burst error model based on Poisson distribution. Then the model is verified using the hypothesis test problem judged by the chi(2) test method. Based on the proposed model, the error conditions of received stego sequence are depicted, and the fault-tolerant performance of the robust steganography based on Compression-resistant Domain Constructing + RS-STC Codes is deduced, that is, the probability lower bound for RS-STCs decoding to correctly extract embedded messages. Experiments demonstrate that the practical fault-tolerant results of previous robust steganography methods consist with the theoretical derivation results, which provides a theory support for coding parameter selection and message extraction integrity to the robust steganography based on Compression-resistant Domain Constructing + RS-STC Codes. 2018 Elsevier B.V. All rights reserved.

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