ROI-based MB-level adaptive frequency weighting

In order to improve the subjective quality of video coding, satisfy the properties of human visual, and reduce the bitrate of coding, a ROI-based MB-Level Adaptive Frequency Weighting Scheme is proposed in this paper. In the perceptual video coding scheme, the visual attention and the frequency sensitivity are the most important properties of HVS and usually used to improve the subjective quality. In this paper, the spatial context, the side information and the properties of the human visual system are all taken into consideration. According to the effect of frequency weighting, three different strategies are defined, and the different areas in one picture can choose different frequency weighting strategies. The experimental results show that the proposed region of interest based MB-Level Adaptive Frequency Weighting algorithm (ROI-baesd MBAFW) can improve the subjective quality significantly. Additionally, compared with the no frequency weighting ROI-based MBAFW algorithm can achieve about 10% bitrate reductions with almost the same subjective quality.