现代电子技术2016，Vol.39Issue(16)：120-124,5.DOI:10.16652/j.issn.1004-373x.2016.16.032
基于小波变换的红外目标去运动模糊的研究
Research on wavelet transform based motion deblurring method of infrared target
摘要
Abstract
To remove the motion blur of image and restore the image,an infrared target motion deblurring method based on haar wavelet transform is proposed. The wavelet transform is used to extract and analyze the high frequency information of image’ s level subband to determine whether the motion blur exists. The blur direction and blur dimension of image are got by rotating image. The optimized Wiener filtering algorithm is used to compile the program to deblur the blur areas and restore the image. The experimental results show that the proposed method can effectively remove the image blur generated by motion,and provide the clear infrared images for the further image processing,and has strong robustness,good real⁃time performance and high appli⁃cation value.关键词
运动模糊/haar小波变换/模糊方向/模糊尺度/维纳滤波算法/去模糊Key words
motion blur/haar wavelet transform/blur direction/blur dimension/Wiener filtering algorithm/deblurring分类
信息技术与安全科学引用本文复制引用
李静,王敏,沙杰峰,徐冰..基于小波变换的红外目标去运动模糊的研究[J].现代电子技术,2016,39(16):120-124,5.基金项目
国家自然科学基金资助项目 （）
