Fast Rate Distortion Optimized Quantization for H.264/AVC

Jiangtao Wen, Mou Xiao, Jianwen Chen, Pin Tao, Chao Wang
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引用次数: 8

Abstract

In this paper, a fast RDO (rate-distortion optimization) quantization algorithm for H.264/AVC is proposed. In this algorithm, the searching space of level adjustments is reduced by filtering the input quantized coefficients in a hierarchical way. The well quantized coefficients is first filtered out, and then the RD tradeoff of each level adjustment to each of the rest coefficients is examined to select some good candidates with their associated level adjustments. Finally these good candidates are combined to find the best combination of level adjustments which gives the minimal rate-distortion cost. Furthermore, a fast rate estimation technique is adopted to save the rate-distortion estimation time. Experimental results show that about 44% quantization time on average can be saved at the cost of negligible PSNR loss compared with RDO quantization algorithm implemented in JM.
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H.264/AVC快速失真优化量化
提出了一种基于H.264/AVC的快速RDO (rate-distortion optimization)量化算法。该算法通过对输入的量化系数进行分层过滤,减少了水平调整的搜索空间。首先过滤出量化良好的系数,然后检查每个水平调整对每个剩余系数的RD权衡,以选择一些具有相关水平调整的良好候选者。最后,将这些好的候选方案组合起来,以找到使费率扭曲成本最小的水平调整的最佳组合。此外,采用快速速率估计技术,节省了速率失真估计时间。实验结果表明,与JM实现的RDO量化算法相比,平均可节省44%的量化时间,而PSNR损失可以忽略不计。
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