Macroblock-Level Adaptive Frequency Weighting Based on HVS

In order to improve the subjective quality of video coding, satisfy the properties of human visual, and reduce the bitrate of coding, a Macroblock-Level Adaptive Frequency Weighting Scheme is proposed in this paper. In the perceptual video coding scheme, the frequency sensitivity is one of the most important properties of HVS and is 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 both 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. Compared with the picture-level adaptive frequency weighting algorithms, the proposed algorithm can select different frequency weighting strategies and quantization matrices for each MB. The experimental results show that the proposed Macroblock-Level Adaptive Frequency Weighting algorithm (MBAFW) can improve the subjective quality significantly. Additionally, MBAFW algorithm can achieve about 11% bitrate reductions with almost the same subjective quality.