An array-based scalable architecture for DCT computations in video coding

Jian Huang, Jooheung Lee, Yimin Ge
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引用次数: 6

Abstract

In this paper, we propose an array-based architecture for DCT computation with high scalability. The scalable architecture can perform DCT computations for 15 different zones and 8 different precisions to achieve quality scalability for DCT coefficients. Due to the quantization process in video coding, the quality can still be retained for larger quantization parameter. We show the detailed comparisons between the quality scalability and the tradeoff factors, i.e., throughput, hardware resources, clock frequencies, and power consumptions.
视频编码中基于数组的可扩展DCT计算体系结构
在本文中,我们提出了一种基于阵列的高可扩展性DCT计算架构。可扩展架构可以执行15个不同区域和8种不同精度的DCT计算,以实现DCT系数的高质量可扩展性。由于视频编码的量化过程,在较大的量化参数下仍能保持视频的质量。我们展示了质量可伸缩性和权衡因素(即吞吐量、硬件资源、时钟频率和功耗)之间的详细比较。
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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