Reversible Data Hiding for Three-dimensional Image Based on Depth No-synthesis-error Model

doi:10.3969/j.issn.1671-1122.2018.05.003

Abstract

Abstract:

Traditional reversible data hiding methods mainly focus on traditional two-dimensional (2D) images, and only a few researches involve three-dimensional (3D) images. A 3D image is synthesized by a 2D image and depth map. The reversible data hiding method for 3D images using the depth map as embedding carriers can obtain non-distortion 3D images after embedding. The existing algorithms have some drawbacks in embedding performance. To improve this, we proposed a reversible data hiding method for 3D synthetic images based on the depth no-synthesis-error model (D-NOSE) model. Combined with the prediction-error expansion algorithm and the histogram-shift algorithm, the prediction error value and the pixel frequency are used as the selectors for embedding pixels. By controlling the selected number of peaks and the distance of pixel mapping, the embedding quality can be improved, and the capacity can be adaptively controlled. Experimental results show that this method has good performance, which can adaptively adjust the embedding capacity while reducing the embedding distortion of the depth map.

Key words: 3D image, reversible data hiding, D-NOSE

CLC Number:

TP309

Bo OU, Xianglian SHI. Reversible Data Hiding for Three-dimensional Image Based on Depth No-synthesis-error Model[J]. Netinfo Security, 2018, 18(5): 24-31.

Figures/Tables 7

References 28

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