Paper
30 April 1998 Depth-controlled 3D TV image coding
Armando Chiari, Bruno Ciciani, Milton Romero, Ricardo Rossi
Author Affiliations +
Proceedings Volume 3295, Stereoscopic Displays and Virtual Reality Systems V; (1998) https://doi.org/10.1117/12.307173
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
Abstract
Conventional 3D-TV codecs processing one down-compatible (either left, or right) channel may optionally include the extraction of the disparity field associated with the stereo-pairs to support the coding of the complementary channel. A two-fold improvement over such approaches is proposed in this paper by exploiting 3D features retained in the stereo-pairs to reduce the redundancies in both channels, and according to their visual sensitiveness. Through an a-priori disparity field analysis, our coding scheme separates a region of interest from the foreground/background in the volume space reproduced in order to code them selectively based on their visual relevance. Such a region of interest is here identified as the one which is focused by the shooting device. By suitably scaling the DCT coefficient n such a way that precision is reduced for the image blocks lying on less relevant areas, our approach aims at reducing the signal energy in the background/foreground patterns, while retaining finer details on the more relevant image portions. From an implementation point of view, it is worth noticing that the system proposed keeps its surplus processing power on the encoder side only. Simulation results show such improvements as a better image quality for a given transmission bit rate, or a graceful quality degradation of the reconstructed images with decreasing data-rates.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Armando Chiari, Bruno Ciciani, Milton Romero, and Ricardo Rossi "Depth-controlled 3D TV image coding", Proc. SPIE 3295, Stereoscopic Displays and Virtual Reality Systems V, (30 April 1998); https://doi.org/10.1117/12.307173
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KEYWORDS
Image quality

Image compression

Video

Video coding

Visualization

Computer programming

Image segmentation

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