Title :
Subjective Quality Optimized Intra Mode Selection for H.264 I Frame Coding Based on SSIM
Author :
Cui, Ziguan ; Zhu, Xiuchang
Author_Institution :
Image Process. & Image Commun. Lab., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
H.264/AVC adopts rate distortion optimization (RDO) technique to select optimal macro block (MB) coding mode and achieves higher compression efficiency, but the traditional RDO framework employs pixel wise mean square error (MSE) and the like as objective distortion metric, which can not acquire optimal subjective quality. This paper applies structural similarity (SSIM) based subjective distortion to RDO-based intra mode decision in H.264 I frame coding, and further proposes a frame layer adaptive Lagrange multiplier adjustment scheme to get better tradeoff between rate and SSIM distortion. Experimental results show that, the proposed scheme encodes more image structural information and thus acquires better subjective quality and coding efficiency compared with MSE-based RDO method.
Keywords :
data compression; video coding; H.264 I frame coding; H.264-AVC; MSE; RDO technique; SSIM distortion; SSIM-based subjective distortion; compression efficiency; frame layer adaptive Lagrange multiplier adjustment scheme; image structural information; objective distortion metric; optimal macroblock coding mode; pixelwise mean square error; rate distortion optimization; structural similarity-based subjective distortion; subjective quality optimized intramode selection; Adaptation models; Bit rate; Encoding; Equations; Image coding; Indexes; Mathematical model; H.264; Lagrange multiplier; intra mode decision; structural similarity (SSIM);
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
DOI :
10.1109/ICIG.2011.13