基于小波包变换的多光谱图像融合方法研究

Research of Multispectral Image Fusion Based on Wavelet Packet Transform

小波包分析将频带进行多层次划分,对小波多分辨分析没有细分的高频部分也进行了进一步的分解。本文在研究了小波包图像分析法后,提出了基于小波包变换的象素级图像融合算法。通过把同一目标的多传感器获得的不同波段的图像数据利用小波包变换进行融合,得到融合图像。这种方法能够很好地将源图像的细节融合在一起,完好地显示了源图像各自的信息。

Wavelet packet analysis decomposes an im- age into low frequency band and high frequency band in different levels.Besides decomposing low frequency band in a higher scale,it decomposes high frequency band in higher scale which wavelet analysis does not do. In this paper,we research wavelet packet analysis on image data and give a fusion method in pixel level by means of wavelet packet transform.Through merging image data of different wavebands from multi-sensor to a same object by applying method of wavelet packet a- nalysis,we have obtained a fused picture.The method can fuse details of input image successfully,and display information of the each input image perfectly.