Paper
19 January 2009 Lifting scheme-based method for joint coding 3D stereo digital cinema with luminace correction and optimized prediction
Author Affiliations +
Proceedings Volume 7257, Visual Communications and Image Processing 2009; 72570J (2009) https://doi.org/10.1117/12.805487
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
Reproducing a natural and real scene as we see in the real world everyday is becoming more and more popular. Stereoscopic and multi-view techniques are used for this end. However due to the fact that more information are displayed requires supporting technologies such as digital compression to ensure the storage and transmission of the sequences. In this paper, a new scheme for stereo image coding is proposed. The original left and right images are jointly coded. The main idea is to optimally exploit the existing correlation between the two images. This is done by the design of an efficient transform that reduces the existing redundancy in the stereo image pair. This approach was inspired by Lifting Scheme (LS). The novelty in our work is that the prediction step is been replaced by an hybrid step that consists in disparity compensation followed by luminance correction and an optimized prediction step. The proposed scheme can be used for lossless and for lossy coding. Experimental results show improvement in terms of performance and complexity compared to recently proposed methods.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Darazi, A. Gouze, and B. Macq "Lifting scheme-based method for joint coding 3D stereo digital cinema with luminace correction and optimized prediction", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72570J (19 January 2009); https://doi.org/10.1117/12.805487
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Cited by 2 scholarly publications.
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KEYWORDS
Image compression

Infrared imaging

Picosecond phenomena

Data storage

Detection theory

Digital imaging

Discrete wavelet transforms

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