基于上下文的自适应二进制算术编码重整化的快速硬件实现

S. Wang, Zejie Kuang, Guohe Zhang, Li Sun
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引用次数: 0

摘要

HEVC的推广和应用面临着一个很大的问题:如何在保证视频压缩率的同时降低编码复杂度。为了降低重归一化的复杂度,针对熵编码模块设计了一种快速的重归一化算法。该算法不需要复杂的循环过程,可以实现重正化和比特输出。同时,提出并实现了相应的硬件结构。实验结果表明,该设计可将重归一化频率降低20.8% ~ 25.6%,将编码时间节省13.6% ~ 30.9%。编码速率最高可达89 mb /s。
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Fast Hardware Implementation of Renormalization for Context-based Adaptive Binary Arithmetic Coding
The promotion and application of HEVC face a great problem: how to reduce the coding complexity while ensuring the video compression rate. In order to reduce the complexity of renormalization, a fast renormalization algorithm is designed for the entropy coding module. This algorithm can perform renormalization and bit output without complex cyclic processes. At the meanwhile, an appropriate hardware structure is proposed and realized for the algorithm. Experimental results show that the design can reduce the renormalized frequency of 20.8%–25.6% and save the encoding time of 13.6%–30.9%. Moreover, the encoding rate can be up to 89 Mbin/s.
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