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Zi Hui

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Proceedings Article | 14 November 2023 Paper

Double embedding reversible information hiding based on chunking

Zi Hui, Gencheng Wang, Yuzhen Chen

Proceedings Volume 12934, 129341M (2023) https://doi.org/10.1117/12.3007994

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A reversible data hiding method based on double embedding in chunking is proposed for existing data hiding algorithms to improve the embedding capacity and generate a secret-laden image with a high visual effect. Firstly, the original image is chunked and different reversible embedding methods are applied to different parts of the sub-blocks for the secret information embedding operation. To improve the embedding capacity, the secret information continues the pre-processing operation and adopts a hierarchical embedding method to improve the utilization of each embeddable point. The original prediction method is also improved to generate a steeper error histogram with more embeddable pixel points. In addition, the use of a suitable prediction and embedding method produces a compensating reduction effect when performing double embedding, reducing the number of invalid displacements and improving the quality of the carrier image. It is experimentally verified that the proposed method outperforms some state-of-the-art RDH work with higher embedding capacity as well as lower distortion. For a standard Lena image, a peak signal-to-noise ratio of up to 66.21 dB can be obtained when the embedding capacity is 10000 bits.

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