By Ce Zhu, Yin Zhao, Lu Yu, Masayuki Tanimoto
Riding at the good fortune of 3D cinema blockbusters and advances in stereoscopic exhibit know-how, 3D video functions have accrued momentum in recent times. 3D-TV approach with Depth-Image-Based Rendering: Architectures, innovations and Challenges surveys depth-image-based 3D-TV structures, that are anticipated to be placed into purposes within the close to destiny. Depth-image-based rendering (DIBR) considerably complements the 3D visible event in comparison to stereoscopic platforms at the moment in use. DIBR suggestions give the opportunity to generate extra viewpoints utilizing 3D warping concepts to regulate the perceived intensity of stereoscopic video clips and supply for auto-stereoscopic screens that don't require glasses for viewing the 3D photo.
The fabric contains a technical evaluate and literature survey of elements and whole structures, strategies for technical matters, and implementation of prototypes. The ebook is equipped into 4 sections: approach review, content material new release, facts Compression and Transmission, and 3D Visualization and caliber review. This booklet will profit researchers, builders, engineers, and innovators, in addition to complicated undergraduate and graduate scholars operating in proper areas.
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Extra resources for 3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges
Objective methods develop automatic metrics which extract possible distortions in a test video (no-reference model) or analyze the differences between the test and reference (distortion-free) videos (full-reference or reduced-reference model) and then translate them into quality scores. Subjective evaluation is considered the most reliable way for QA, but it is time-consuming and not practical in many applications. This triggers the research on objective metrics that simulate the subjective evaluation [122–126].
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4. 2009CB320903 and Singapore Ministry of Education Academic Research Fund Tier 1 (AcRF Tier 1 RG7/09). References 1. htm 2. Ito T (2010) Future television—super hi-vision and beyond. In: Proceedings of IEEE Asian solid-state circuits conference, Nov 2010, Beijing, China, pp 1–4 28 Y. Zhao et al. 3. Kubota A, Smolic A, Magnor M, Tanimoto M, Chen T, Zhang C (2007) Multiview imaging and 3DTV. IEEE Signal Process Mag 24(6):10–21 4. Onural L (2010) Signal processing and 3DTV. IEEE Signal Process Mag 27(5):142–144 5.