摘要
当摄像机随载体作高速运动时,由于成像曝光时间、摄像机与目标间的纵向相对运动等因素使目标图像产生从中心到边缘的辐射状径向模糊,而且越靠近图像的边缘模糊程度越大。针对这一典型的空间变化运动模糊情形,通过坐标变换,使模糊在变换后的坐标系中是空间不变的,从而建立模糊的卷积模型,并提出采用FFT-正则化算法对含噪径向运动退化图像进行复原。试验表明该方法减少了计算的复杂度,可较好地再现原图像的重要信息。
When the camera is moving at a high speed with the carrier,because of the exposure time of imaging,the camera and the longitudinal relative movement between target,it makes the target image produce radial blur from the center to the edge,and the more close to the edge of the image the greater the degree of the blurring is.According to the typical spatial variation motion blur situation,through a coordinate transform,it makes the blur spatially invariant in the transformed coordinate system to establish the fuzzy convolution model,and then proposes the FFT-regularization algorithm to recover the noisy radial blurred images.Tests show that the method reduced the complexity of the calculation effectively,and is quite good to reproduce the original image of important information.
出处
《机械设计与制造》
北大核心
2013年第7期98-100,共3页
Machinery Design & Manufacture
关键词
运动模糊
径向模糊
正则化算法
图像复原
Motion Blur
Radial Blur
Regularization Algorithm
Image Restoration
