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Field-programmable gate array-based hardware architecture for high-speed camera with KAI-0340 CCD image sensor

机译:带有KAI-0340 CCD图像传感器的高速摄像机基于现场可编程门阵列的硬件架构

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We present a field-programmable gate array (FPGA)-based hardware architecture for high-speed camera which have fast auto-exposure control and colour filter array (CFA) demosaicing. The proposed hardware architecture includes the design of charge coupled devices (CCD) drive circuits, image processing circuits, and power supply circuits. CCD drive circuits transfer the TTL (Transistor-Transistor-Logic) level timing Sequences which is produced by image processing circuits to the timing Sequences under which CCD image sensor can output analog image signals. Image processing circuits convert the analog signals to digital signals which is processing subsequently, and the TTL timing, auto-exposure control, CFA demosaicing, and gamma correction is accomplished in this module. Power supply circuits provide the power for the whole system, which is very important for image quality. Power noises effect image quality directly, and we reduce power noises by hardware way, which is very effective. In this system, the CCD is KAI-0340 which is can output 210 full resolution frame-per-second, and our camera can work outstandingly in this mode. The speed of traditional auto-exposure control algorithms to reach a proper exposure level is so slow that it is necessary to develop a fast auto-exposure control method. We present a new auto-exposure algorithm which is fit high-speed camera. Color demosaicing is critical for digital cameras, because it converts a Bayer sensor mosaic output to a full color image, which determines the output image quality of the camera. Complexity algorithm can acquire high quality but cannot implement in hardware. An low-complexity demosaicing method is presented which can implement in hardware and satisfy the demand of quality. The experiment results are given in this paper in last.
机译:我们提出了一种基于现场可编程门阵列(FPGA)的高速相机硬件架构,该架构具有快速的自动曝光控制和彩色滤光片阵列(CFA)去马赛克。提出的硬件体系结构包括电荷耦合器件(CCD)驱动电路,图像处理电路和电源电路的设计。 CCD驱动电路将图像处理电路产生的TTL(晶体管-晶体管逻辑)电平时序转换为CCD图像传感器可以输出模拟图像信号的时序。图像处理电路将模拟信号转换为数字信号,随后进行处理,并在此模块中完成TTL定时,自动曝光控制,CFA去马赛克和伽马校正。电源电路为整个系统提供电源,这对于图像质量非常重要。电源噪声直接影响图像质量,我们通过硬件方式降低电源噪声,这非常有效。在该系统中,CCD是KAI-0340,它可以每秒输出210个全分辨率帧,并且我们的相机可以在此模式下出色地工作。传统自动曝光控制算法达到适当曝光水平的速度太慢,以至于有必要开发一种快速的自动曝光控制方法。我们提出了一种适合高速相机的新自动曝光算法。彩色去马赛克对于数码相机至关重要,因为它会将拜耳传感器马赛克输出转换为全彩色图像,这决定了相机的输出图像质量。复杂度算法可以获取高质量,但不能在硬件中实现。提出了一种低复杂度的去马赛克方法,该方法可以在硬件中实现并满足质量要求。最后给出了实验结果。

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