光学 精密工程, 2016, 24 (8): 1854, 网络出版: 2016-10-19   

利用普通CCD实现百万帧/秒超高速成像的时序驱动技术

Ultra high speed driver timing method for million frame per second based on normal CCD image sensor
作者单位
1 西北核技术研究所 强脉冲辐射环境模拟与效应国家重点实验室, 陕西 西安 710024
2 西北核技术研究所, 陕西 西安 710024
摘要
提出了基于普通CCD的掩模式成像技术来大幅提高CCD的图像获取速度, 实现百万帧/秒的CCD时序驱动方法。介绍了加掩模后CCD的工作过程, 利用掩模把普通CCD的光敏区划分为带有存储区的像素阵列, 实现了普通CCD的片上存储功能。分析了利用普通CCD实现百万帧/秒超高帧频的时序驱动方法, 掩模形状决定了帧速, 帧数和图像的分辨率。对系统的时序结构、电荷转移方式和驱动电路进行了说明, 通过特殊驱动电路和图像处理软件设计实现了百万帧/秒的超高帧频。最后, 对驱动时序进行了仿真和实验验证。采用条状孔阵列掩模, 基于普通CCD图像传感器进行了百万帧/秒工作速度的验证, 获得了14幅79 pixel ×79 pixel的图像, 其帧频达到200×104 frame/s。文章所述技术具有一定的通用性。
Abstract
An ultra high speed CCD driver timing method based on a normal CCD image sensor was proposed to improve the CCD image acquisition speed and achieve the image speed in million frame per second. The working processing of the CCD after masking was introduced. With a specialized mask, the original light sensitive area of the normal CCD sensor was divided into pixel array with a certain storage area to implement the storage function on a chip. The driver timing method to achieve the image speed in million frame per second was analyzed and the frame rate, frame number and resolution of the image were decided by the shape of the mask. The driver timing was well introduced, the structure of timing, charge transfer mode and the driving circuit were given, then, the ultra high speed in million frame per second was implemented by the special circuit and image processing software. Finally, The designed method and simulation result of ultra high speed logic timing were verified in detail. With a strip array mask and an ordinary CCD, the performance of 2 million frame per second is achieved, 14 result images with a resolution of 79×79 are obtained. Moreover, the method proposed has universality in applications.

杨少华, 李斌康, 郭明安, 刘璐, 罗通顶, 李刚, 高帅. 利用普通CCD实现百万帧/秒超高速成像的时序驱动技术[J]. 光学 精密工程, 2016, 24(8): 1854. YANG Shao-hua, LI Bin-kang, GUO Ming-an, LIU Lu, LUO Tong-ding, LI Gang, GAO Shuai. Ultra high speed driver timing method for million frame per second based on normal CCD image sensor[J]. Optics and Precision Engineering, 2016, 24(8): 1854.

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