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Book ChapterDOI

Reversible Data Hiding for Texture Videos and Depth Maps Coding with Quality Scalability

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TLDR
A novel reversible data hiding scheme is proposed to integrate depth maps into corresponding texture video bitstreams to achieve better video rendering quality and coding efficiency compared with existing related schemes.
Abstract
To support 3-D video and free-viewpoint video applications, efficient texture videos and depth maps coding should be addressed. In this paper, a novel reversible data hiding scheme is proposed to integrate depth maps into corresponding texture video bitstreams. At the sender end, the depth video bitstream obtained by depth down-sampling and compression is embedded in residual coefficients of corresponding texture video. The data embedding is implemented by the histogram shifting technique. At the receiver end, the depth maps can be retrieved with scalable quality after data extraction, video decoding and texture-based depth reconstruction. Due to the attractive property of reversible data hiding, the texture video bitstream can be perfectly recovered. Experimental results demonstrate that the proposed scheme can achieve better video rendering quality and coding efficiency compared with existing related schemes.

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References
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Journal ArticleDOI

Reversible data hiding

TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
Proceedings ArticleDOI

Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV

Christoph Fehn
- 21 May 2004 - 
TL;DR: Details of a system that allows for an evolutionary introduction of depth perception into the existing 2D digital TV framework are presented and a comparison with the classical approach of "stereoscopic" video is compared.
Journal ArticleDOI

Adaptive support-weight approach for correspondence search

TL;DR: A new window-based method for correspondence search using varying support-weights based on color similarity and geometric proximity to reduce the image ambiguity and outperforms other local methods on standard stereo benchmarks.
Book ChapterDOI

Reversible data hiding

TL;DR: A theoretical proof and numerous experiments show that the PSNR of the marked image generated by this method is always above 48 dB, which is much higher than other reversible data hiding algorithms.
Journal ArticleDOI

Model-Based Joint Bit Allocation Between Texture Videos and Depth Maps for 3-D Video Coding

TL;DR: This work presents comprehensive analyses on the impacts of the compression distortion of texture videos and depth maps on the quality of the virtual views, and derives a concise distortion model for the synthesized virtual views using the Lagrangian multiplier method.
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