摘要
本文以无人机在电力巡检时,采集的图像容易出现对焦不准的情况为背景,提出一种通过像素曲线对散焦图像进行初步复原的方法。该方法基于点扩散模型退化的像素曲线模型,通过调整图像的两个方向的像素曲线来达到初步复原的目的。通过实验和与其他复原方法的比较,可知本文提出的这种方法可以降低复原的计算量,同时也可以实现对散焦图像进行效果较好的初步复原。
In this paper,the background that the image collected by the UAV in the power inspection prone to focus is inaccurate,a pixel curve of the defocused image restoration method for preliminary.This method is based on the pixel curve model of point spread model,and adjusts the pixel curves of two directions in order to achieve the purpose of primary restoration.Through experiments and comparison with other restoration methods,it can be seen that the method proposed in this paper can reduce the computational complexity of the restoration,and also can achieve a good initial recovery of defocus images.
作者
王聪
WANG Cong(Communication Engineering College Nanjing Institute of Technology,Nanjing 211167,China)
出处
《现代信息科技》
2017年第3期1-3,7,共4页
Modern Information Technology
关键词
散焦
像素曲线
图像复原
电力巡检
defocus
curve of pixel
recovery of images
power inspection