基于小波变换的同态滤波法去雾图像处理  

Fog-removing Processing of Image through Homorphic Filtering Based on Wavelets Transformation

作　　者：林英[1] 

机构地区：[1]福建儿童发展职业学院,福建福州350001

出　　处：《龙岩学院学报》2008年第6期32-36,共5页Journal of Longyan University

基　　金：福建省教育厅科研项目(JA07220S)

摘　　要：主要使用同态滤波的方法进行去雾,对传统的同态滤波算法进行改进,引入基于小波变换的同态滤波方法,重点采用改进的Butterworth滤波对小波变换域系数进行处理,再进行小波重构得到去雾后的图像。此方法在保持图像总体原貌的基础上对图像局部对比度增强效果显著。This article uses nomomorphic filtering to remove the fog. By improving the traditional homomorphic filtering, we introduce a new spatial-frequency analysis method based on wavelets which is applied to homomorphic filtering to enhance the contrast of an image. In order to attenuate the low spatial frequencies and amplify the high spatial frequencies, the wavelet analysis coefficients are processed by the Butterworth filter. So the local uneven distribution due to non-uniformity of light source can be reduced and the object feature can be emphasized. Experiments have shown that the method performs well in enhancing the local contrast while maintaining its global appearance.

关 键 词：同态滤波 小波变换 去雾 巴特沃斯滤波 图像对比度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]