二进制化是白适应二进制算术编码中的重要步骤，在二进制级别进行概率估计与编码，能有效降低编解码计算复杂度。本文提出一种新型二进制化方法，根据相邻变换块的非零系数个数存在的高度相关性，对变换块的非零系数个数进行白适应二进制化；在设计二进制化算法的过程中，还针对概率分布近似对称的情况，提出一种简化的将语法元素映射为码字序号的规则。实验结果表明，与传统方法相比，新的算法能在压缩效率相当的前提下，有效降低计算复杂度。

Binarization is an elementary step in the framework of context-based adaptive binary arithmetic coding. It is introduced to simplify the context modeling and the subsequent arithmetic coding process. In this paper, we propose a novel binarization scheme for arithmetic coding. Based on the observation that the numbers of nonzero coefficients in neighboring blocks are highly correlated, the number of nonzero coefficients of a block is specifically binarized according to the numbers of nonzero coefficients of its top and left neighbors. In addition, a novel mapping rule is designed to map a syntax element to a code number, according to the observed features of probability distribution. Experimental results show that compared to the conventional scheme, this scheme can reduce decoding complexity with comparable coding efficiency.