基于双边滤波的变分红外图像增强  

Infrared Image Enhancement Based on Bilateral Filtering

作　　者：刘雅莉[1] 樊景博[1] 段乃侠 

机构地区：[1]商洛学院,陕西商洛726000

出　　处：《激光杂志》2016年第8期86-88,共3页Laser Journal

基　　金：陕西省教育厅科研项目(15JK1231);商洛市科技局科研项目(SK2014-01-21)

摘　　要：图像增强是改善红外图像质量的一种重要途径,针对红外图像模糊、质量等不足,提出了一种双边滤波的变分红外图像增强算法。首先采用小波变换将红外图像分解成为低频子图像和高频子图像,然后采用双边滤波算法和变分算法对低频和高频子图像进行处理,最后采小波逆变换对低频子图像和高频子图像进行重构。结果表明,本文算法提高了红外图像的对比度,视觉效果要优于对红外图像增强算法,为红外图像的后续处理打了良好的基础。Image enhancement is an important ways to improve the quality of infrared image. For the shortage of infrared image, the image enhancement algorithm based on bilateral filtering is proposed. Firstly, infrared image are decomposed into low-frequency sub image and high frequency sub image by wavelet transform, and then bilateral filte- ring algorithm and variation algorithm are used to enhance processing of low frequency sub imagand high frequency sub image, finally, the inverse wavelet transform is used to reconstruct the low frequency sub image and high frequency sub image. The results show that the proposed algorithm can improve the contrast of infrared image, and visual effect is better than other infrared image enhancement algorithm, which establish a good foundation for the subsequent process- ing of infrared image.

关 键 词：红外图像 双边滤波算法 变分法 小波变换 对比度增强 

分 类 号：TN29[电子电信—物理电子学]