Low power architecture of motion estimation and efficient intra prediction based on hardware design for H.264

H. Chaouch, S. Dhahri, A. Zitouni, R. Tourki
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引用次数: 3

Abstract

The coding gains of the H.264/AVC video encoder, come from the improvement of the prediction method for intra and inter prediction in goal to achieve best image quality. However, their enormous computation, high complexity and the dissipated power are the main penalties. The approach proposed in this paper invests and exploits the best hardware solution for intra and inter prediction. Intra prediction is based on nine luma modes by using a 4×4 block for predicted MB (macro-block). Inter prediction is based on a novel low power Hardware Adaptive Motion Estimator (HAME), which is essential for the portable systems that integrate the Full Search (FS), the Gradient Search (GS) and the Four Step Search (FSS) algorithms. Our aim is to achieve an acceptable image quality with the reduction of the computational cost by using hardware accelerator. All modules were designed by using Very High Speed Integrated Circuit (VHSIC) and operate with about 350 MHz clock frequency for inter and intra prediction. The Synopsys environments are used and are based on CMOS 45 nm ASIC technology.
基于H.264的低功耗运动估计和高效帧内预测的硬件设计
H.264/AVC视频编码器的编码增益来自于对帧内和帧间预测方法的改进,以达到最佳的图像质量。然而,它们巨大的计算量、高复杂性和耗散的功率是主要的缺点。本文提出的方法投资并利用了最好的内部和内部预测的硬件解决方案。a内预测是基于9个luma模式,使用4×4块来预测MB(宏块)。内部预测基于一种新型的低功耗硬件自适应运动估计器(HAME),这对于集成了全搜索(FS)、梯度搜索(GS)和四步搜索(FSS)算法的便携式系统至关重要。我们的目标是通过使用硬件加速器,在降低计算成本的同时,获得可接受的图像质量。所有模块均采用超高速集成电路(VHSIC)设计,工作时钟频率约为350 MHz,用于内部和内部预测。使用Synopsys环境,并基于CMOS 45纳米ASIC技术。
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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