Title :
Code performance improvement scheme for X264 based on SSIM
Author :
Weilin Wu ; Xingming Zhang
Author_Institution :
Dept. of Comput. Sci., South China Univ. of Technol., Guangzhou, China
Abstract :
X264 takes objective metric as distortion criteria to perform Rate Distortion Optimization (RDO)-based mode decision, which cannot acquire optimal subjective quality. This paper applies Structural Similarity (SSIM) based subjective distortion to RDO-based inter mode decision in X264 video coding, and puts forward a method of adaptive analysis of Lagrange multipliers to measure the relation of rate and SSIM in macro-block level. We also take motion vector of macro-block into account and apply methods of information theory, combined with the uncertainty of visual speed perception, to make further improvements of lagrange multiplier. Our experiments show that this correct solution gets a better subjective rate-distortion performance and subjective image quality.
Keywords :
rate distortion theory; video coding; Lagrange multipliers; RDO-based inter mode decision; X264 video coding; adaptive analysis; code performance improvement scheme; image quality; information theory; lagrange multiplier; rate distortion optimization; structural similarity; Bit rate; Distortion measurement; Encoding; Optimization; Rate-distortion; Vectors; Visualization; Lagrange multiplier; Rate-distortion optimization; Structural similarity; X264 coding;
Conference_Titel :
Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2201-0
DOI :
10.1109/ICNIDC.2012.6418782