DocumentCode :
1352876
Title :
Perceptual Rate-Distortion Optimization Using Structural Similarity Index as Quality Metric
Author :
Huang, Yi-Hsin ; Ou, Tao-Sheng ; Su, Po-Yen ; Chen, Homer H.
Author_Institution :
MediaTek, Hsinchu, Taiwan
Volume :
20
Issue :
11
fYear :
2010
Firstpage :
1614
Lastpage :
1624
Abstract :
The rate-distortion optimization (RDO) framework for video coding achieves a tradeoff between bit-rate and quality. However, objective distortion metrics such as mean squared error traditionally used in this framework are poorly correlated with perceptual quality. We address this issue by proposing an approach that incorporates the structural similarity index as a quality metric into the framework. In particular, we develop a predictive Lagrange multiplier estimation method to resolve the chicken and egg dilemma of perceptual-based RDO and apply it to H.264 intra and inter mode decision. Given a perceptual quality level, the resulting video encoder achieves on the average 9% bit-rate reduction for intra-frame coding and 11% for inter-frame coding over the JM reference software. Subjective test further confirms that, at the same bit-rate, the proposed perceptual RDO indeed preserves image details and prevents block artifact better than traditional RDO.
Keywords :
mean square error methods; rate distortion theory; video coding; H.264 inter mode decision; H.264 intra mode decision; RDO framework; bit-rate reduction; chicken and egg dilemma; interframe coding; intraframe coding; mean squared error; objective distortion metrics; perceptual rate-distortion optimization; predictive Lagrange multiplier estimation; quality metric; structural similarity index; video coding; video encoder; Approximation methods; Encoding; Estimation; Fitting; Indexes; Measurement; Video coding; H.264; lagrange multiplier; perceptual quality; rate-distortion optimization; structural similarity index; video codec;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2010.2087472
Filename :
5604279
Link To Document :
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