DocumentCode
1077024
Title
H.264-Based Compression of Bayer Pattern Video Sequences
Author
Doutre, Colin ; Nasiopoulos, Panos ; Plataniotis, Konstantinos N.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC
Volume
18
Issue
6
fYear
2008
fDate
6/1/2008 12:00:00 AM
Firstpage
725
Lastpage
734
Abstract
Most consumer digital cameras use a single light sensor which captures color information using a color filter array (CFA). This produces a mosaic image, where each pixel location contains a sample of only one of three colors, either red, green or blue. The two missing colors at each pixel location must be interpolated from the surrounding samples in a process called demosaicking. The conventional approach to compressing video captured with these devices is to first perform demosaicking and then compress the resulting full-color video using standard methods. In this paper two methods for compressing CFA video prior to demosaicking are proposed. In our first method, the CFA video is directly compressed with the H.264 video coding standard in 4:2:2 sampling mode. Our second method uses a modified version of H.264, where motion compensation is altered to take advantage of the properties of CFA data. Simulations show both proposed methods give better compression efficiency than the demosaick-first approach at high bit rates, and thus are suitable for applications, such as digital camcorders, where high quality video is required.
Keywords
data compression; filtering theory; image colour analysis; image sampling; image segmentation; image sequences; interpolation; video coding; Bayer pattern video sequence; H.264 video coding; H.264-based compression; color filter array; digital camera; image demosaicking; interpolation; light sensor; Bayer pattern; H264/AVC; H264/AVC,; color demosaicking; single-sensor digital video cameras; video coding;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2008.919111
Filename
4455567
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