Driving and image enhancement for CCD sensing image system

Driving and image enhancement for CCD sensing image system
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DOI:
10.1109/iccsit.2010.5563816
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发表时间:
2010-07
期刊:
2010 3rd International Conference on Computer Science and Information Technology
影响因子:
--
通讯作者:
Mingyu Zhang;Jianyue Ren
Mingyu Zhang;Jianyue Ren
中科院分区:
其他
文献类型:
--
作者:
Mingyu Zhang;Jianyue Ren

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针对采用Dalsa公司生产的高分辨率全画幅3300万像素面阵CCD FTF 5066 M的CCD传感成像系统,设计了一种高灵敏度、宽动态的驱动电路。采用现场可编程门阵列(FPGA)作为主要器件,完成了电路的时序设计和传感器的电源驱动控制。采用相关双采样技术,降低了视频噪声,提高了系统的信噪比。采用集成芯片设计的成像系统,通过双通道输出,输出速率可达1.3帧/秒。我们使用直方图规范来调整捕获图像的亮度。然后采用中值滤波对噪声进行抑制。采用传统的灰度平均梯度(GMG)和基于人类视觉系统(HVS)的客观评价方法来验证图像增强效果。
The paper designs a driving circuit of high sensitive, wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique, the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement.