输电线红外图像超分辨率复原方法  

Super-Resolution Restoration Method for Infrared Image of Power Line

作　　者：高云龙[1] 赵岩[1] 耿英楠[2] 

机构地区：[1]吉林大学通信工程学院,长春130012 [2]长春工程学院电气与信息工程学院,长春130012

出　　处：《吉林大学学报（信息科学版）》2017年第1期8-13,共6页Journal of Jilin University（Information Science Edition）

基　　金：国家自然科学基金资助项目(61271315)

摘　　要：针对因相机抖动而影响输电线红外图像超分辨率复原效果的问题,提出结合SIFT(Scale Invariant Feature Transform)特征配准信息对低分辨率的输电线红外图像进行超分辨率复原。以4个相邻图像帧为例,首先选定一帧作为参考帧,将其他3帧与该帧图像进行SIFT特征配准,配准过程为特征点检测与初配准、RANSAC(Random Sample Consensus)去除误配准点和图像重采样。然后,对参考帧与图像重采样后的3帧图像进行超分辨率复原。实验结果表明,该算法与传统的超分辨率复原算法相比,重影率下降41%,具有更好的超分辨率复原效果。In order to solve the problem that super-resolution restoration quality of the power line infrared image is affected by the camera shaking,a new super-resolution method combining SIFT（Scale Invariant Feature Transform） feature matching is proposed. Taking four adjacent frames for example,an image is selected as the reference frame,and the transformation that map the reference frame to the other images is found by SIFT algorithm,which includes feature point detection and registration,removing mismatching pixels by RANSAC（Random Sample Consensus） algorithm and image resampling. Then,take the reference frame and three resampling images into super-resolution reconstruction. The experimental results show that our algorithm can obtain a better super-resolution image compared with conventional super-resolution method.

关 键 词：超分辨率复原 尺度不变特征 输电线 图像配准 

分 类 号：TN919.8[电子电信—通信与信息系统]