一种改进亮度平滑滤波调节图像融合算法

An Improved method based on Smoothing Filter-based Intensity Modulation for image fusion

针对基于亮度平滑滤波调节(SFIM)遥感图像融合存在的空间细节信息提高不足,光谱存在一定失真的问题,提出了一种改进SFIM算法。该算法在SFIM基础上,结合平滑滤波和加权平均等方法,对SFIM的不足进行了改进;但保持了SFIM算法简单,运算快捷的优点。实验结果表明改进算法在空间细节增加,对比度以及光谱保持方面有了明显改善。

There are some disadvantages of SFIM method for image fusion. The image resolution doesn＇t improved too much and has some spectral distort. This paper gives an improved method based on SFIM, smoothing filter and weighted average. This method improves the characteristic of the SFIM, and also keeps the advantage such as simple arithmetic and little time for operation. The resuits of the experiment have proved that this improved SFIM method is more effective on increasing details information and preserving spectral information.