一种基于IHS和小波变换的彩色图像融合算法

Color Image Fusion Algorithm Based on IHS and Wavelet Transformation

针对昼夜彩色图像的融合,提出了基于IHS变换和小波变换的昼夜彩色图像融合新算法。该算法首先对昼夜彩色图像作IHS变换得到三个分量:亮度I、色度H和饱和度S;然后利用小波变换融合昼夜彩色图像的亮度分量,并用融合后的亮度分量替代夜晚图像的亮度分量;再作IHS反变换得到新的夜间图像;最后将得到的新的夜间图像和原白天图像在空域进行加权融合。实验分析表明,新方法的性能优于简单的空域加权融合,也优于单纯的基于IHS和小波变换的融合,在保留昼夜彩色图像信息的基础上,增强了融合图像的空间细节表现能力;并用客观评价标准对算法进行了定量的分析。

A Color image fusion method on IHS transformation and Wavelet transformation is presented. The method can automatically merge images of a scene captured under different illumination and can be used for practical applications. The fused image can be used to enhance the context of night-time traffic videos so that they are easier to understand. The context is automatically captured from a fixed camera and inserted from a day-time image （of the same scene）. Our method preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.