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Novel rate distortion optimization strategy based on perceptual properties of texture and luminance

Yu Like1,2,Dai Feng1,Zhang Yongdong1,Lin Shouxun1 1.Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China; 2.Graduate University of Chinese Academy of Sciences,Beijing 100190,China  
RDO(rate-distortion optimization) plays an important role in video coding systems and has a great effect on coding efficiency.The most widely used RDO strategy uses MSE or other similar metrics for distortion modeling,which is not a good metric for subjective evaluation.In order to improve the perceptual quality,a novel perceptual distortion model is firstly proposed which takes the perceptual properties of texture and luminance into consideration.Based on the perceptual distortion model,a TL-RDO(texture and luminance based RDO) strategy is proposed which adjusts the Lagrangian multiplier dynamically according to visual perception.The simulation result shows that TL-RDO gets higher coding efficiency than the famous QP-RDO.Moreover,it has low computational consumption compared to other perceptual RDO strategies,which is suitable for real-time systems.
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