Title :
SSIM-based adaptive quantization in HEVC
Author :
Chuohao Yeo ; Hui Li Tan ; Yih Han Tan
Author_Institution :
Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
Abstract :
HEVC is an emerging video coding standard that can achieve significant compression gains compared to H.264/AVC due to the inclusion of numerous new coding tools. In particular, it allows for a flexible quadtree based block partitioning of each coding tree unit (CTU) and an ability to switch quantization parameters (QP) on a sub-CTU level. In this paper, we present an approach for selecting quantization parameters for each block of pixels on the basis of optimizing the SSIM of the entire picture. Our simulation results show that when SSIM is the quality metric, the proposed approach is able to give average BD-Rate gains of 5.5% to 7.4% compared to using a constant QP per picture while having a negligible increase in encoding runtime. In addition, our proposed method also significantly outperforms the MPEG-2 TM5 adaptive quantization algorithm implemented in the HEVC reference software.
Keywords :
encoding; quadtrees; quantisation (signal); video coding; H.264/AVC; HEVC reference software; MPEG-2 TM5 adaptive quantization algorithm; SSIM-based adaptive quantization; average BD-rate gains; coding tree unit; compression gains; encoding runtime; flexible quadtree based block partitioning; new coding tools; quality metric; subCTU level; switch quantization parameters; video coding standard; Encoding; Measurement; Quantization (signal); Runtime; Standards; Transform coding; Video coding; Adaptive quantization; HEVC; Rate distortion optimization; SSIM;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6637940