用于实时图像处理的蜂窝混合信号像素阵列

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) Pub Date : 1997-11-02 DOI:10.1109/ACSSC.1997.679084

G. Erten, F. Salam

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引用次数: 1

摘要

当代计算平台无法提供许多实时图像处理任务所需的计算密度。另一方面，即使是最简单的生命系统也能够毫不费力地感知和解释它们的环境，使用一群缓慢而不准确的并行神经元。基于这一观察结果以及细胞神经网络范式，本文提出了一种集成的传感器处理器架构，该架构可以捕获脊椎动物视网膜的局部连接模式，并在硅中执行并行可编程的图标图像操作。结果提出了从模拟这种新的蜂窝网络范式。

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Cellular mixed signal pixel array for real time image processing

Contemporary computing platforms fail to deliver the computational density required for many real-time image processing tasks. On the other hand, even the simplest of living systems are able to perceive and interpret their environment effortlessly using a conglomerate of slow and inaccurate neurons in parallel. Motivated by this observation as well as the cellular neural network paradigm, this paper presents an integrated sensor processor architecture that captures the local connectivity patterns of the vertebrate retina in silicon to perform parallel programmable iconic image operations. Results are presented from simulation of this new cellular network paradigm.

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Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)

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