Global Rate-Distortion Optimization-Based Rate Control for HEVC HDR Coding
Autor: | Sam Kwong, Xuekai Wei, Mingliang Zhou, Wilson Y. F. Yuen, Shiqi Wang, P.H.W. Wong, Chi-Keung Fong |
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Rok vydání: | 2020 |
Předmět: |
Machine vision
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology Video quality Gamut Rate–distortion optimization Distortion Bit rate 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Electrical and Electronic Engineering Algorithm High dynamic range Data compression Coding (social sciences) |
Zdroj: | IEEE Transactions on Circuits and Systems for Video Technology. 30:4648-4662 |
ISSN: | 1558-2205 1051-8215 |
DOI: | 10.1109/tcsvt.2019.2959807 |
Popis: | High dynamic range (HDR) video compression technology, which is capable of delivering a wider range of luminance and a larger colour gamut than standard dynamic range (SDR) technology, has been widely used in recent years in many fields, including industrial image processing, digital entertainment, and machine vision. Rate control (RC) is of paramount importance to HDR compression and transmission; accordingly, an RC scheme for HDR in High Efficiency Video Coding (HEVC) is proposed in this paper. First, considering the HDR characteristics, we propose an HDR-Visual Difference Predictor (VDP)-2-based rate-distortion (R-D) model to improve the coding performance. Second, we directly utilize $\lambda $ rather than the bit rate in the optimization process to obtain the optimal solution. Finally, we propose a new model parameter estimation method to further reduce the RC errors. According to our experimental results, significant bit rate reductions in terms of HDR-VDP-2, the Video Quality Metric (VQM) and the mean peak-signal-to-noise ratio (mPSNR) can be achieved on average compared with the state-of-the-art algorithm used in HM16.19. |
Databáze: | OpenAIRE |
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