北京航空航天大学学报 ›› 2009, Vol. 35 ›› Issue (12): 1455-1458.

• 论文 • 上一篇    下一篇

CCD摄像机图像处理仿真

刘雨丹, 张 炯, 戴树岭   

  1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191
  • 收稿日期:2008-11-25 出版日期:2009-12-31 发布日期:2010-09-14
  • 作者简介:刘雨丹(1985-),女,北京人,硕士生,ssbaby0517@hotmail.com.
  • 基金资助:

    [1] Kolb C,Mitchell D,Harahan P.A realistic camera model for computer graphics Proceedings of Acm Siggraph.Los Angeles: Siggraph Acm,1995: 317-324
    [2] Poynton C.Frequently asked questions about Gamma .New York:Wiley,1996 .http://www.poynton.com/PDFs/TIDV/GammaFAQ.pdf
    [3] Keith J.A handbook for the digital engineer .SPRA361,1996
    [4] Poynton C.Digital video and HDTV algorithms and interfaces[M].San Francisco:Morgan Kaufmann,2003
    [5] 胡波,林青,陈光梦,等.基于先验知识的自动白平衡[J].电路与系统学报,2001,6(2):25-28 Hu Bo,Lin Qing,Chen Guangmeng,et al.Automatic white balance based on prior information[J].Journal of Circuits and Systems,2001,6(2):25-28(in Chinese)

CCD vidicon image processing simulation

Liu Yudan, Zhang Jiong, Dai Shuling   

  1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2008-11-25 Online:2009-12-31 Published:2010-09-14

摘要: 针对CCD(Charge Coupled Device)摄像机的图像处理过程,提出一种基于可编程GPU(Graphic Processing Unit)的摄像机仿真方法,利用GPU的流处理模式和并行计算能力,对图像的每个像素进行Gamma校正、亮度调节、对比度调节、色温偏差调节,以及色彩饱和处理.分析了Gamma校正的原理以及在其他调节之前进行Gamma校正的必要性.讨论了图像亮度与像素颜色的关系,提出针对当前时刻的拍摄图像提取亮度信号的方法,规定了亮度等级的划分,并将亮度等级作为图像处理的依据.提出了在低照度情况下模拟动态噪点的方法.结果表明:该方法可以模拟真实CCD摄像机在复杂光照环境下的拍摄效果,并保证实时仿真的高速与高效性.

Abstract: A simulation method based on programmable graphic processing unit (GPU) was proposed to simulate charge coupled device (CCD) vidicon image processing. The flow-operating mode and parallel computation ability of GPU were utilized to process each pixel, including Gamma correction, brightness and contrast adjustment, color-temperature adjustment, and color-saturation processing. The principle of Gamma correction and the necessity to implement it before other operations were analyzed. The relation between luminance and pixel color was discussed. A method to compute luma signal of current image was proposed. The luma scale was defined and image processing was based on it. A method to simulate the dynamic noise in low luminance condition was introduced. The results show that this method can simulate the imaging effect of real CCD vidicon in complex illumination environment with high speed and efficiency which are required in real-time simulation.

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