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Reversible Data Hiding Using Inter-Component Prediction in Multiview Video Plus Depth

1,†, 2,*,† and 3,†
School of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea
Department of Computer Engineering, Sejong University, Seoul 05006, Korea
Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien 97401, Taiwan
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Electronics 2019, 8(5), 514;
Received: 5 April 2019 / Revised: 22 April 2019 / Accepted: 22 April 2019 / Published: 9 May 2019
PDF [25762 KB, uploaded 9 May 2019]
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With the advent of 3D video compression and Internet technology, 3D videos have been deployed worldwide. Data hiding is a part of watermarking technologies and has many capabilities. In this paper, we use 3D video as a cover medium for secret communication using a reversible data hiding (RDH) technology. RDH is advantageous, because the cover image can be completely recovered after extraction of the hidden data. Recently, Chung et al. introduced RDH for depth map using prediction-error expansion (PEE) and rhombus prediction for marking of 3D videos. The performance of Chung et al.’s method is efficient, but they did not find the way for developing pixel resources to maximize data capacity. In this paper, we will improve the performance of embedding capacity using PEE, inter-component prediction, and allowable pixel ranges. Inter-component prediction utilizes a strong correlation between the texture image and the depth map in MVD. Moreover, our proposed scheme provides an ability to control the quality of depth map by a simple formula. Experimental results demonstrate that the proposed method is more efficient than the existing RDH methods in terms of capacity. View Full-Text
Keywords: 3D; depth map; inter-component prediction; MVD; reversible data hiding; texture 3D; depth map; inter-component prediction; MVD; reversible data hiding; texture

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Lee, J.Y.; Kim, C.; Yang, C.-N. Reversible Data Hiding Using Inter-Component Prediction in Multiview Video Plus Depth. Electronics 2019, 8, 514.

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