Yu Like, Dai Feng, Zhang Yongdong, Lin Shouxun. Novel rate distortion optimization strategy based on perceptual properties of texture and luminance[J]. Journal of Image and Graphics, 2012, 17(1): 54-61. DOI: 10.11834/jig.20120108.
Novel rate distortion optimization strategy based on perceptual properties of texture and luminance
简称TL-RDO(texture and luminance based RDO)策略。该策略对不同的区域自适应地调整拉格朗日乘子
使得编码结果更好地符合人眼的观察特性。实验结果表明
TL-RDO相比现有最常用的QP-RDO方法
编码效率显著提高;与一些典型的基于感知失真特性的率失真优化策略相比
TL-RDO策略计算复杂度较低
适合于实时编码系统。
Abstract
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