行间转移大面阵CCD相机Smear噪声实时去除

张宇; 张立国; 张星祥

doi:10.3788/OPE.20132109.2388

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行间转移大面阵CCD相机Smear噪声实时去除

信息科学 | 更新时间：2020-08-12

- 行间转移大面阵CCD相机Smear噪声实时去除
- Real-time elimination of Smear noise for large interline transfer area CCD camera
- 光学精密工程 2013年21卷第9期页码：2388-2394
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
- 作者简介：
- 基金信息：
  
  大视场TDICCD成像系统静态传递函数测试系统()
- DOI：10.3788/OPE.20132109.2388
  中图分类号： V447.3;TP751.1
- 收稿日期：2013-02-25，
  
  修回日期：2013-04-03，
  
  网络出版日期：2013-09-30，
  
  纸质出版日期：2013-09-15
- 稿件说明：
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张宇张立国张星祥. 行间转移大面阵CCD相机Smear噪声实时去除[J]. 光学精密工程, 2013,21(9): 2388-2394

ZHANG Yu ZHANG Li-guo ZHANG Xing-xiang. Real-time elimination of Smear noise for large interline transfer area CCD camera[J]. Editorial Office of Optics and Precision Engineering, 2013,21(9): 2388-2394
张宇张立国张星祥. 行间转移大面阵CCD相机Smear噪声实时去除[J]. 光学精密工程, 2013,21(9): 2388-2394 DOI： 10.3788/OPE.20132109.2388.

ZHANG Yu ZHANG Li-guo ZHANG Xing-xiang. Real-time elimination of Smear noise for large interline transfer area CCD camera[J]. Editorial Office of Optics and Precision Engineering, 2013,21(9): 2388-2394 DOI： 10.3788/OPE.20132109.2388.

摘要

针对面阵CCD成像过程中产生的Smear特有噪声，以行间转移面阵CCD为例，提出了利用行间转移面阵CCD暗像元区域提取Smear的方法。介绍了行间转移面阵CCD的工作原理以及Smear产生机理，分析了Smear噪声的组成，利用相关双采样，哑像元校正等方法消除了Smear中的KTC噪声及暗电流噪声。提出了基于中值的快速均值滤波方法，消除了光粒子散粒噪声。最后

利用差分方法将滤波后的Smear从原始图像数据中减除，并采用双三次插值对消除Smear后的图像区域进行补偿。设计了以现场可编程门阵列+数字信号处理器（FPGA+DSP）为核心处理器件的硬件实时处理系统，当相机工作在最高速工况3 frame/s时，系统可在1.265 ms内完成Smear提取及滤波

消除Smear后的图像区域灰度方差减小了95.34%。经过成像实验验证，该系统集成度高，满足实时需要，彻底消除了Smear噪声。

Abstract

For the peculiar Smear noise occurred in the area CCD imaging

a method to extract the Smear from the interline transfer CCD dark pixel region was proposed by taking an interline transfer area CCD for an example. The working principle of the area CCD was introduced

the creation reason of the Smear was analyzed and the composition of the Smear noise was discussed. Then

the KTC noise and the dark current noise of the Smear were filtered by using the Correction Double Sample(CDS) and the dumb pixel correction. The average filter method based on a middle value was proposed to eliminate the light shot noise. Finally

the Smear was eliminated from a original image by the subtract method

and the Smear image region was compensated by the triangle-based interpolation. A real-time hardware processing system was designed by using Field Programming Gate Array +Digital Signal Processor (FPGA+DSP) as the core processor. When the camera is working at the fastest working mode 3 frame/s

the Smear can be extract and filtered in 1.265 ms and the gradation variance of the image area has decreased to 95.34% by eliminating the Smear. With the imaging experiment verification

the system has a high integration and real-time ability and the Smear noise is eliminated completely.

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references

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