用于高速数字图像处理的基于列的处理阵列

T. Morris, Erica Fletcher, Cyrus Afghahi, S. Issa, K. Connolly, Jean-Charles Korta
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引用次数: 12

摘要

我们提出了一种在集成CMOS传感器芯片内进行基于列的图像处理的新架构。该系统包括有源像素传感器的二维阵列、沿着传感器阵列一侧的一维模数转换器阵列、静态随机存取存储器(SRAM)单元阵列和并行数字处理单元的一维阵列。该架构为可扩展性提供了很大的潜力,主要是由于从模数转换器输出的数字位的旋转。每个数据转换器产生一个8位值,然后横向存储在跨8列像素的SRAM字节中。这种数据安排允许每个算术逻辑单元(alu)进行8位并行处理,它也沿着8像素列扩展。这种由8列组成的分组称为块列。我们描述了架构,并讨论了在0.35 /spl mu/m数字CMOS工艺中制造的两个独立测试器件的设计过程中遇到的实现问题。我们还用实例算法给出了架构分析的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A column-based processing array for high-speed digital image processing
We present a novel architecture for column-based image processing within an integrated CMOS sensor chip. The system includes a two-dimensional array of active pixel sensors, a one-dimensional array of analog-to-digital converters along one side of the sensor array, an array of static random access memory (SRAM) cells, and a one-dimensional array of parallel digital processing units. The architecture offers much potential for scalability, primarily due to a rotation of the digital bits coming out of the analog-to-digital converter. Each data converter produces an 8-bit value, which is then stored horizontally in an SRAM byte extending across 8 columns of pixels. This arrangement of data enables 8-bit parallel processing by each of the arithmetic logic units (ALUs), which also extends along 8 pixel columns. This grouping of 8 columns is referred to as a block-column. We describe the architecture and discuss implementation issues encountered during the design of two separate test devices fabricated in a 0.35 /spl mu/m digital CMOS process. We also present results of an architectural analysis with example algorithms.
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