CAJ | 학술논문

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。
위료편우해결기동퇴화도상인도상모호퇴화불역진행복원처리적문제,제출료일충기동퇴화홍외도상적변연정위산법。수선대퇴화도상진행기우상소의사도적거조예처리;연후사용Canny산자진행료변연정위,진이대변연구역진행료변연수복화려파처리。통과대다조기동퇴화도상적방진실험급여다충변연검측산법적대비분석표명,산법구유교호적변연정위능력,교호지거제료기동퇴화도상모호적문제,도상질량득이회복,동시산법복잡도교저。
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.