SSIM-based adaptive quantization in HEVC

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.