VVC adaptive QP offset algorithm based on visual perception

Abstract

The latest video coding standard, the Universal Video Coding Standard (VVC), uses new coding tools to greatly improve compression efficiency. However, the adaptive QP module in the coding framework ignores the characteristics of the human visual system HVS, resulting in coding results that differ from the real perception of the human eye. To incorporate visual perception into QP selection, this paper proposes an adaptive QP offset algorithm based on visual perception metrics. The first step is to design a QP offset algorithm based on the luminance, frequency, and time domain characteristics of the HVS. The visual perception index is designed to reflect the real perception of human eyes, and then the index is used to guide the CTU into different levels according to visual sensitivity. Experiments show that the algorithm achieves 0.74% performance improvement in VMAF - based BD-Rate and about 8% improvement in VMAF score compared to the original VVC.