4.7 Article

A New Payload Partition Strategy in Color Image Steganography

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSVT.2019.2896270

Keywords

Color; Payloads; Distortion; Image color analysis; Security; Correlation; Gray-scale; Image steganography; RGB channels; payload partition; modification probabilities

Funding

  1. National Natural Science Foundation of China [61402162, 61572329, 61872244, 61772191]
  2. Hunan Provincial Natural Science Foundation [2017JJ3040]
  3. Science and Technology Key Projects of Hunan Province [2015TP1004, 2016JC2012]
  4. Open Project Program of National Laboratory of Pattern Recognition [201900017]
  5. CERNET Innovation Project [NGII20180412]

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In traditional steganographic schemes, RGB three channels payloads are assigned equally in a true color image. In fact, the security of color image steganography relates not only to data-embedding algorithms but also to different payload partition. How to exploit inter-channel correlations to allocate payload for performance enhancement is still an open issue in color image steganography. In this paper, a novel channel-dependent payload partition strategy based on amplifying channel modification probabilities is proposed, so as to adaptively assign the embedding capacity among RGB channels. The modification probabilities of three corresponding pixels in RGB channels are simultaneously increased, and thus the embedding impacts could be clustered, in order to improve the empirical steganographic security against the channel co-occurrences detection. The experimental results show that the new color image steganographic schemes, incorporated with the proposed strategy, can effectively make the embedding changes concentrated mainly in textured regions, and achieve better performance on resisting the modern color image steganalysis.

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