采用先进先出和自适应数据压缩的0.5V功率和面积效率的拉普拉斯金字塔处理引擎

S. Zeinolabedin, Jun Zhou, Xin Liu, T. T. Kim
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引用次数: 2

摘要

针对图像/视频处理中的多分辨率图像表示问题,提出了一种功率和面积效率高的拉普拉斯金字塔处理引擎。为了降低LPPE的功耗和面积消耗,提出了一种具有自适应数据压缩功能的先进先出结构。为了减小输出误差,提出了一种新的滤波扩展方法。在电路层面,采用近阈值设计,通过电源电压缩放进一步降低功耗。采用0.18 μm CMOS工艺制作的LPPE在3.68 MHz和0.5 V下每秒可处理112帧,功耗仅为452 μW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 0.5V power and area efficient Laplacian Pyramid processing engine using FIFO with adaptive data compression
This paper proposes a power and area efficient Laplacian Pyramid processing engine (LPPE) for multi-resolution image representation in image/video processing. In the proposed LPPE, a novel FIFO architecture with adaptive data compression is proposed to reduce the power and area consumption of LPPE. A new filtering extension method is also proposed to reduce the output errors. In circuit level, near-threshold design is adopted to further reduce the power consumption by supply voltage scaling. The proposed LPPE fabricated in a 0.18 μm CMOS process technology can process 112 frames per second at 3.68 MHz and 0.5 V while consuming only 452 μW.
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