摘要
提出了一种基于小波变换的图像融合去雾方法,该方法的思想是对拍摄到的有稍微偏差的两幅有雾图像分别进行小波变换,将得到的高频信息采用极大值的选择规则进行融合,而得到的低频信息则采用基于边缘分量的方案进行融合,最后再根据小波逆变换得到最终的去雾图像.实验证明该方法能更好地提高各种雾天图像的清晰度.
A method of image fusion based on waielet transform to defog is proposed. The idea of the method is to take wavelet transformations for two fog images with a little deviation, respectively. The high frequency information will be fused using the maximum selection rules, while the low frequeney information will be fused based on the edge component approach. The final image will be obtained allording to a wavelet inverse transformation. Experimental results show that the proposed image fusion technology can better improve the image quality for various foggy images.
出处
《山东师范大学学报（自然科学版）》
CAS
2016年第2期40-43,共4页
Journal of Shandong Normal University(Natural Science)
基金
山东省教改基金资助项目(2015M157)
关键词
小波变换
图像融合
去雾
wavelet transform
image fusion
defogging
