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Global Rate-Distortion Optimization-Based Rate Control for HEVC HDR Coding

机译:基于速率失真优化的HEVC HDR编码速率控制

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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.
机译:高动态范围(HDR)视频压缩技术,能够提供更广泛的亮度和比标准动态范围(SDR)技术更广泛的色域(SDR)技术,在许多领域中被广泛使用,包括工业图像处理,数字娱乐和机器视觉。速率控制(RC)对HDR压缩和传输至关重要;因此,本文提出了高效视频编码(HEVC)中的HDR RC方案。首先,考虑HDR特征,我们提出了一种HDR视觉差分预测器(VDP)-2的速率 - 失真(R-D)模型,以提高编码性能。其次,我们直接利用Lambda而不是优化过程中的比特率来获得最佳解决方案。最后,我们提出了一种新的模型参数估计方法,以进一步减少RC错误。根据我们的实验结果,与HDR-VDP-2,视频质量度量(VQM)和平均峰值信噪比(MPSNR)的显着比特率缩短可以平均实现 - 与状态相比 - 在HM16.19中使用的最新算法。

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