In this paper, we propose a just noticeable distortion (JND)-ased perceptual rate control method for high efficiency video coding (HEVC). First, the JND factor of a coding unit has been mathematically shown to be an approximation of the average pixel-level JND weight, which means that it can also be used as a weight for bitrate allocation. Second, rate-distortion (R-D) modelling is conducted based on the JND factor. Finally, the proposed R-D model is integrated into an existing rate control framework to improve the coding efficiency, and the proposed algorithm is implemented in the newest video coding standard. As the experimental results reveal, compared with HEVC reference software, our algorithm achieves significantly improved coding performance, subjective coding quality and bitrate accuracy.
Bibliographical noteThis work was supported in part by the Natural Science Foundation of China under Grant 61871342, Grant 61772344, Grant 61672443, and Grant 61876026, in part by the Hong Kong RGC General Research Funds under Grant 9042820 (CityU 11219019), Grant 9042489 (CityU 11206317), Grant 9042322 (CityU 11200116), and Grant 9048123 (CityU 21211518), in part by the Key Project of Science and Technology Innovation 2030 supported by the Ministry of Science and Technology of China under Grant 2018AAA0101301, in part by the startup project of Chongqing University under Grant 02160011044118, in part by the Guangxi Key Laboratory of Cryptography and Information Security under Grant GCIS201906, and in part by Chinese National Research Fund (NSFC) Key Project under Grant 61532013 and Grant 61872239.
- Human visual perception
- perceptual rate control