摘要
由于水体对激光存在着不可克服的吸收和散射效应,距离选通水下激光成像系统所获得的图像存在不同程度的劣化问题,具有信噪比低、边缘模糊等特点。为提高图像质量,将基于模糊度量的盲去卷积方法应用于激光水下成像的图像复原中。结合威尔斯小角度近似得出的点扩展函数与调制传递函数,分别讨论了最大期望,最小均方与多次乘法迭代盲去卷积算法,并引入模糊度量方法判断盲去卷积算法的最佳迭代次数,获取最佳质量的复原图像。
The degradation characteristic is one of the features of images acquired by range-gated underwater laser imaging systems for the reason of inevitable absorption and scattering by water. The underwater laser images have behaviors of low signal-to-noise ratio and blurry edge. In order to enhance the image quality, blind deconvolution approach based on blur metric method is used in image restoration of laser underwater imaging. Together with the discussion of point spread function and modulation transfer function obtained from Wells＇ small angle approximation, the expectation maximization, least square and multiplicative iterative blind dcconvolution algorithms are introduced respectively, and the blur metric method is used to determine the iteration time for the image restoration result of best quality.
出处
《光学与光电技术》
2011年第2期27-32,共6页
Optics & Optoelectronic Technology
关键词
图像处理
图像复原
盲反卷积
点扩展函数
调制传递函数
模糊度量
image processing
image restoration
blind deconvolution
point spread function
modulation transfer function
blur metric
