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Proceedings Paper

Low-complexity Bayer-pattern video compression using distributed video coding
Author(s): Hu Chen; Mingzhe Sun; Eckehard Steinbach
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Paper Abstract

Most consumer digital color cameras capture video using a single chip. Single chip cameras do not capture RGB triples for every pixel, but a subsampled version with only one color component per pixel (e.g. Bayer pattern). Conventionally, a full resolution video is constructed from the Bayer pattern by demosaicing before being converted to YUV domain for compression. In order to lower the encoding complexity, we propose in this work a novel color space conversion in the pre-processing step. Compared to the conventional method, the proposed scheme reduces the encoding complexity almost by half. Moreover, it improves the reconstructed video quality by up to 1.5 dB in CPSNR, when H.264/AVC is used for compression. To further lower the encoding complexity, we additionally use our Wyner-Ziv video coder for compression. Again, we observe in our experiments a similar gain of the proposed scheme over the conventional one.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725715 (19 January 2009); doi: 10.1117/12.807273
Show Author Affiliations
Hu Chen, Technische Univ. München (Germany)
Mingzhe Sun, Technische Univ. München (Germany)
Eckehard Steinbach, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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