Rate control model for high dynamic range video


This paper describes a luminance based rate control (RC) model for high dynamic range (HDR) video. A novel mathematical relationship between luminance and bit allocation of a coding tree unit (CTU) is presented. By adjusting the existing RC algorithm through the proposed model, a better balance between dark and bright areas can be achieved and -4.4% gains can be obtained in terms of average BD-Rate (tPSNR-XZY). Moreover, subjective assessment also shows that, compared with the existing RC model, the proposed method can convey a wider range of perceptible shadow and highlight more details.

2017 IEEE Visual Communications and Image Processing (VCIP)
Li Song
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.