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Compressive image acquisition in modern CMOS IC design

机译:现代CMOS IC设计中的压缩图像采集

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Compressive sampling (CS) offers bandwidth, power, and memory size reduction compared to conventional (Nyquist) sampling. These are very attractive features for the design of modern complementary metal-oxide semiconductor (CMOS) image sensors, cameras, and camera systems. However, very few integrated circuit (IC) designs based on CS exist because of the missing link between the well-established CS theory on one side, and the practical aspects/effects related to physical IC design on the other side. This paper focuses on the application of compressed image acquisition in CMOS image sensor integrated circuit design. A new CS scheme is proposed, which is suited for hardware implementation in CMOS IC design. All the main physical non-idealities are explained and carefully modeled. Their influences on the acquired image quality are analyzed in the general case and quantified for the case of the proposed CS scheme. The presented methodology can also be used for different CS schemes and as a general guideline in future CS based CMOS image sensor designs. Copyright (c) 2013 John Wiley & Sons, Ltd.
机译:与常规(奈奎斯特)采样相比,压缩采样(CS)可以减少带宽,功耗和内存大小。对于现代互补金属氧化物半导体(CMOS)图像传感器,照相机和照相机系统的设计,这些特性非常有吸引力。然而,由于一方面完善的CS理论与另一方面与物理IC设计相关的实际方面/效果之间缺少联系,所以基于CS的集成电路(IC)设计很少。本文重点研究压缩图像采集技术在CMOS图像传感器集成电路设计中的应用。提出了一种新的CS方案,该方案适合CMOS IC设计中的硬件实现。解释并仔细建模了所有主要的物理非理想情况。在一般情况下,对它们对获取的图像质量的影响进行分析,并针对所提出的CS方案进行量化。所提出的方法还可以用于不同的CS方案,并作为未来基于CS的CMOS图像传感器设计的一般指南。版权所有(c)2013 John Wiley&Sons,Ltd.

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