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

针对去除图像运动模糊,对图像进行复原,提出一种基于haar小波变换的红外目标去运动模糊的方法。利用小波变换提取并分析图像的水平子带高频信息,判断是否存在运动模糊;通过旋转图像,求取图像的模糊尺度和模糊方向;采用优化的维纳滤波算法编写程序对模糊区域去模糊,进行图像复原。实验结果表明,提出的方法能有效去除由于运动产生的图像模糊,可为进一步图像处理的需要提供清晰的红外图像,且具有鲁棒性强、实时性好等特点,具有较高的应用价值。

To remove the motion blur of image and restore the image,an infrared target motion deblurring method based onhaar 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 rotatingimage. 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 providethe clear infrared images for the further image processing,and has strong robustness,good real?time performance and high appli?cation value.