Abstract
Video coding has been widely adopted to achieve pleasant video quality at constrained bitrate. In this paper, adaptive frequency coefficient suppression directed by Human Visual System (HVS) is presented for H.264 video coding. Firstly, starting from Just Noticeable Distortion (JND) models for the classic DCT domain, we deduce a JND threshold for the H.264 transform domain with decent adaptation. Then the resultant threshold is used to adaptively suppress the transform coefficients of prediction residuals. It should be noted that our scheme is fully compatible with the H.264 standard. And experimental results show that compared to normal methods, significant bitrate reduction can be obtained by our scheme at similar subjective quality.
Li Song
Professor, IEEE Senior Member
Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.