基于预处理的气动退化图像边缘定位

Edge Orientation of Aero Degraded Image Based on Pre-processing

为了便于解决气动退化图像因图像模糊退化不易进行复原处理的问题,提出了一种气动退化红外图像的边缘定位算法。首先对退化图像进行基于像素疑似度的去噪预处理;然后使用Canny算子进行了边缘定位,进而对边缘区域进行了边缘修复和滤波处理。通过对多组气动退化图像的仿真实验及与多种边缘检测算法的对比分析表明,算法具有较好的边缘定位能力,较好地去除了气动退化图像模糊的问题,图像质量得以恢复,同时算法复杂度较低。

Image restoration is often difficult due to blur.An edge o rientation algorithm for aero degraded image is proposed.Firstly,denoising pred isposal based on pixel similarity is done;then,edge orientation using Canny oper ator is done;lastly,repair and denoising in edge region are performed.Simulation of aero degraded images and comparison of different edge detection algorithms s how that the proposed algorithm provide can better performance of edge orientati on and deblur effect,as well as improved image quality and lowered algorithm com plexity.