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实现基于标准的视频编码过程的一个关键问题是宏块编码模式选择,而选择宏块编码模式控制参量的关键是确定DCT系数的量化因子。本文提出了一种基于宏块分类的最佳量化因子选择方法,着重讨论了二个问题:(1)宏块的R一Q模型和D一Q模型;(2)引入适当先验假设条件,根据宏块R一Q、D一Q模型,建立有限制条件的最优化表达式,得到最佳的分类宏块量化因子。模拟结果表明:与传统方法相比,基于宏块分类的最佳量化因子选择方法一定程度上能减少所需的编码比特。
One of the key issues in implementing standards-based video coding is the selection of the macroblock coding mode. The key to choosing the control parameters of the macroblock coding mode is to determine the quantization factor of the DCT coefficients. In this paper, we propose a method to choose the best quantizer based on macroblock classification, and focus on two problems: (1) R-Q model and D-Q model of macroblock; (2) By introducing appropriate a priori assumptions, According to the macroblock R-Q, D-Q model, we establish the optimal expression with limited conditions, and get the best classification macroblock quantization factor. The simulation results show that, compared with the traditional method, the best quantizer selection method based on macroblock classification can reduce the required coding bits to some extent.