A SystemC AMS/TLM platform for CMOS video sensors

Fabio Cenni, S. Scotti, E. Simeu
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引用次数: 5

Abstract

This work presents how an image acquisition system based on a CMOS image sensor (CIS) has been modeled by means of the recently standardized analog and mixed-signal (AMS) extension to the SystemC 1666 IEEE standard. Many optical and electrical effects at a high level of abstraction are described by the model while limiting the model complexity for making the model suitable to top-level simulations and performance analysis. A comparison among SystemC AMS models developed at different levels of abstraction is shown. The Sys-temC AMS model of the image sensor is supplied with input scenarios that mimic the scene captured by an image sensor inserted in a dark-box for tuning purposes. The model is integrated in a SystemC TLM platform that contains also the image signal processor (ISP) algorithms and a comparator between the detected image and the processed one. The resulting SystemC AMS/TLM platform demonstrates how the tight interaction between the SystemC AMS image sensor model and the SystemC TLM ISP model allows an early development/validation of the embedded software. Simulation results are shown and future related works discussed.
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用于CMOS视频传感器的SystemC AMS/TLM平台
本文介绍了基于CMOS图像传感器(CIS)的图像采集系统是如何通过最近标准化的模拟和混合信号(AMS)扩展到SystemC 1666 IEEE标准来建模的。许多高抽象层次的光学和电学效应由模型描述,同时限制了模型的复杂性,使模型适合于顶层仿真和性能分析。对在不同抽象层次上开发的SystemC AMS模型进行了比较。图像传感器的Sys-temC AMS模型提供了输入场景,模拟由插入暗盒中的图像传感器捕获的场景,用于调谐目的。该模型集成在SystemC TLM平台中,该平台还包含图像信号处理器(ISP)算法和检测图像与处理图像之间的比较器。由此产生的SystemC AMS/TLM平台演示了SystemC AMS图像传感器模型和SystemC TLM ISP模型之间的紧密交互如何允许嵌入式软件的早期开发/验证。给出了仿真结果,并对今后的相关工作进行了讨论。
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