Programmable Vision Sensors with On-chip Real-time Image Processing

M. Gottardi, N. Massari, A. Simoni
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引用次数: 1

Abstract

In this contribution, the research activity on CMOS pro- grammable vision sensors, carried out at ITC-irst, is presented, with special attention on pixel-parallel architectures for low-level real- time processing tasks. Different pixel topologies are described for full-kernel spatio-temporal filtering, featuring a good tradeoff be- tween pixel-pitch, fill-factor and power consumption (1-4). Thanks to the switched capacitor pixel implementation, all the vision processing can be accomplished by simply changing the sensor timing diagram, which is the key idea of the presented vision sensors. Moreover, a novel approach for on-the-fly image processing over high dynamic- range images is described, adopting integration time sharing and oversampling techniques, which allow integration time and process- ing time to be overlapped, offering new ways of implementing on-chip real-time image processing.
具有片上实时图像处理的可编程视觉传感器
在这篇文章中,介绍了在itc首次开展的CMOS可编程视觉传感器的研究活动,特别关注用于低级实时处理任务的像素并行架构。不同的像素拓扑被描述为全核时空滤波,具有很好的权衡像素间距,填充因子和功耗(1-4)。由于开关电容像素的实现,所有的视觉处理都可以通过简单地改变传感器时序图来完成,这是所提出的视觉传感器的关键思想。此外,本文还提出了一种高动态范围图像的实时处理新方法,该方法采用集成分时和过采样技术,使集成时间和处理时间重叠,为实现片上实时图像处理提供了新的途径。
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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