Title :
Rate-SSIM optimization for video coding
Author :
Wang, Shiqi ; Rehman, Abdul ; Wang, Zhou ; Ma, Siwei ; Gao, Wen
Abstract :
The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode se lection in H.264/AVC video coding. To derive the Lagrange multiplier based on the properties of input sequences, a novel reduced-reference statistical SSIM model and a source-side information combined rate model are established. The proposed method is fully standard-compatible. Experimental results demonstrate that, compared with conventional rate distortion optimization coding schemes, the proposed scheme can achieve better rate-SSIM performance and provide better visual quality.
Keywords :
rate distortion theory; video coding; H.264/AVC video coding; Lagrange multiplier; image quality; rate SSIM optimization; reduced reference statistical SSIM model; structural similarity index; Bit rate; Distortion measurement; Encoding; Indexes; Optimization; PSNR; Video coding; Lagrange multiplier; SSIM index; rate distortion optimization; rate-SSIM optimization; reduced-reference image quality assessment;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946533