基于灰度投影改进的电子稳像

顾学海, 王利平, 顾国华

顾学海, 王利平, 顾国华. 基于灰度投影改进的电子稳像[J]. 应用光学, 2013, 34(6): 957-963.
引用本文: 顾学海, 王利平, 顾国华. 基于灰度投影改进的电子稳像[J]. 应用光学, 2013, 34(6): 957-963.
GU Xue-hai, WANG Li-ping, GU Guo-hua. Electronic image stabilization based on improved gray projection[J]. Journal of Applied Optics, 2013, 34(6): 957-963.
Citation: GU Xue-hai, WANG Li-ping, GU Guo-hua. Electronic image stabilization based on improved gray projection[J]. Journal of Applied Optics, 2013, 34(6): 957-963.

基于灰度投影改进的电子稳像

详细信息
    通讯作者:

    王利平(1964-),女,博士,教授,主要从事目标探测与图像视频信号的研究工作。 Email:wlp82431@qq.com

  • 中图分类号: TN216

Electronic image stabilization based on improved gray projection

  • 摘要: 针对灰度投影算法运用于存在局部运动目标的情况下,稳像效果较差并且可能产生错稳这一问题,在分析灰度投影基本理论的基础上,提出一种改进的灰度投影算法:局部运动物体位置估计方法和像素替代法。利用灰度值的改变和像素替代的方法,把局部运动物体去除,再进行稳像处理。通过实验验证,该方法可以解决图像中存在运动物体时发生的错稳情况。比较改进前与改进后的稳像效果,改进后的PSRN(峰值信噪比)提高了1.35。
    Abstract: Gray projection method for electronic image stabilization has poor image stabilization effect and it may cause the error stability when there is a moving target in the image sequence. In order to solve the problem, we proposed an improved gray projection algorithm which referred to the position estimation method for partial moving target and the pixel alternative method, based on the analysis of the basic theory for gray projection. We estimated the position of the partial moving target using a change of gray value, and removed the partial moving target with the method of pixel alternative to stabilize image. Through analysis and verification, the conclusion is that this method can well process the image which has problems and improve the image stabilization effect. Using the improved method, the peak signal-to-noise ratio (PSNR) is increased by 1.35.
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出版历程
  • 刊出日期:  2013-11-14

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