A high-throughput, area-efficient hardware accelerator for adaptive deblocking filter in H.264/AVC

M. Nadeem, Stephan Wong, G. Kuzmanov, A. Shabbir
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引用次数: 12

Abstract

In this paper, we present a high-throughput, area-efficient, hardware accelerator for the deblocking filter in H.264/AVC video compression standard. In order to achieve this goal, we start with algorithmic optimization and propose a novel decomposition of the filter kernels for the deblocking filter. The proposed decomposition reduces the number of adders by 51% and thereby greatly reduces the area requirement for its implementation. Subsequently, at architecture level, while using two identical filtering units, the transpose units are realized by efficient reuse of hardware resources to further reduce the area requirement. The two filtering units process the horizontal and vertical edges of the macro-block simultaneously and therefore further enhance the throughput of the hardware accelerator. Several other optimization techniques, such as reuse of intermediate results, pipelining, and merging of processing blocks on critical path, result in a hardware accelerator for deblocking filter with high throughput at one hand and less area in terms of equivalent gates count on the other, when compared with existing state-of-the-art hardware accelerators in the literature. While working at clock frequency of 166 MHz, synthesized under 0.18 µm CMOS standard cell technology, it easily meets the throughput requirements of all the levels in H.264/AVC video coding standard and consumes only 12.06 K gates (excluding SRAM).
一种用于H.264/AVC自适应块化滤波器的高吞吐量、高效率硬件加速器
本文提出了一种用于H.264/AVC视频压缩标准中去块滤波的高吞吐量、高效率的硬件加速器。为了实现这一目标,我们从算法优化开始,提出了一种新的去块滤波器的滤波器核分解方法。提出的分解将加法器的数量减少了51%,从而大大减少了其实现所需的面积。随后,在体系结构层面,在使用两个相同的滤波单元的同时,通过对硬件资源的有效重用实现了单元的转置,进一步降低了对面积的要求。两个过滤单元同时处理宏块的水平和垂直边缘,因此进一步提高了硬件加速器的吞吐量。与文献中现有的最先进的硬件加速器相比,其他几种优化技术,如中间结果的重用、流水线和关键路径上处理块的合并,产生了用于去块滤波器的硬件加速器,一方面具有高吞吐量,另一方面具有更少的等效门计数面积。在时钟频率为166 MHz的情况下,在0.18µm CMOS标准单元技术下合成,轻松满足H.264/AVC视频编码标准中所有级别的吞吐量要求,仅消耗12.06 K门(不包括SRAM)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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