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http://dx.doi.org/10.5909/JBE.2010.15.4.527

An adaptive frequency-selective weighted prediction of residual signal for efficient RGB video compression coding  

Jeong, Jin-Woo (School of Electrical and Electronic Engineering, Yonsei University)
Choe, Yoon-Sik (School of Electrical and Electronic Engineering, Yonsei University)
Kim, Yong-Goo (Newmedia Dept., KGIT (Korean German Institute of Technology))
Publication Information
Journal of Broadcast Engineering / v.15, no.4, 2010 , pp. 527-539 More about this Journal
Abstract
Most video coding systems use YCbCr color space for their inputs, but RGB space is more preferred in the field of high fidelity video because the compression gain from YCbCr becomes disappeared in the high quality operation region. In order to improve the coding performance of RGB video signal, this paper presents an adaptive frequency-selective weighted prediction algorithm. Based on the sign agreement and the strength of frequency-domain correlation of residual color planes, the proposed scheme adaptively selects the frequency elements as well as the corresponding prediction weights for better utilization of inter-plane correlation of RGB signal. Experimental results showed that the proposed algorithm improves the coding gain of around 13% bitrate reduction, on average, compared to the common mode of 4:4:4 video coding in the state-of-the-art video compression standard, H.264/AVC.
Keywords
RGB video coding; Residual color space transform; selective prediction scheme;
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