一种基于小波变换的可见光与红外图像融合算法研究

为了解决可见光与红外图像所表现的目标特征不一致的问题,提出了一种红外与可见光图像融合算法.首先利用小波变换将图像进行多尺度分解,然后提取不同分辨率、不同方向下的小波系数,采用不同的融合算法构造融合图像对应的小波系数,最后利用该小波系数重构融合后的图像.实验结果表明,该算法在红外与可见光图像融合处理中取得了很好的融合效果,有效地将红外和可见光对同一目标所表现出不同的特征、细节融合在一幅图像里,增加了单幅图像的信息量,丰富了目标的信息层次,为图像显示观察和后续图象处理系统获取信息提供了基础.

Research on An Image Fusion Algorithm Based on the Wavelet Transform for Infrared and Visible Light images

An image fusion algorithm research for infrared and visible light images is presented in this paper for solving the problem that infrared and visible light images show different features to the same object.First,the wavelet transform is used to perform a multiscale decomposition of each image.Then,This paper Abstracts the wavelet coefficients of multi-resolutions and directions.Third,the wavelet coefficients of fused image are constructed using multiple operators.Lastly,the fusion image is reconstructed by using these fusion wavelet coefficients.The experimental results show that this image fusion algorithm is effective for the image fusion of infrared and visible light images,and the fusion image contain the different features and details,which increase the information quantity and is more discernible.