基于fpga的嵌入式智能摄像机遮挡亮度估计

C. Grana, Daniele Borghesani, Paolo Santinelli, R. Cucchiara
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引用次数: 2

摘要

本文介绍了一种基于CMOS图像传感器的亮度估计系统的设计与开发,并在FPGA上实现。该系统由CMOS图像传感器、FPGA、DDR SDRAM、USB控制器和SPI (Serial Peripheral Interface) Flash组成。FPGA用于构建集成软处理器(Xilinx MicroBlaze)和处理外部外设和存储器所需的所有硬件块的片上系统。采用软处理器处理图像采集,所有计算任务都需要计算遮蔽亮度值。这种单芯片FPGA实现的优点包括降低硬件要求、功耗和系统复杂性。高动态范围图像的问题已经解决了在不同的曝光时间多次采集。遮光亮度定义所需的渐晕、径向畸变和角加权由单个整数查找表(LUT)访问处理。结果与最先进的认证仪器进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Veiling Luminance estimation on FPGA-based embedded smart camera
This paper describes the design and development of a Veiling Luminance estimation system based on the use of a CMOS image sensor, fully implemented on FPGA. The system is composed of the CMOS Image sensor, FPGA, DDR SDRAM, USB controller and SPI (Serial Peripheral Interface) Flash. The FPGA is used to build a system-on-chip integrating a soft processor (Xilinx MicroBlaze) and all the hardware blocks needed to handle the external peripherals and memory. The soft processor is used to handle image acquisition and all computational tasks need to compute the Veiling Luminance value. The advantages of this single chip FPGA implementation include the reduction of the hardware requirements, power consumption, and system complexity. The problem of the high dynamic range images have been addressed with multiple acquisitions at different exposure times. Vignetting, radial distortion and angular weighting, as required by veiling luminance definition, are handled by a single integer look-up table (LUT) access. Results are compared with a state of the art certified instrument.
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