一种最佳基小波包变换的影像融合研究

在将小波包变换应用于影像融合的过程中,选择不同性质的小波包基,会得到不同效果的融合影像。如何在其中找到性质最好的小波包基,即最佳小波包基,并在此基础上实现影像的融合具有重要的意义。影像融合涉及到两幅影像,最佳小波包基的搜索需要在两棵小波包树上进行,而已有的最佳小波包基搜索算法只能在一棵小波包树上实现。本文提出了一种在两棵小波包树上搜索最佳小波包基的算法,并基于由此算法得到的最佳小波包基,实现了一种新的基于最佳基小波包变换的影像融合。试验结果表明:在采用基于特征的融合规则的条件下,该方法所得的融合影像,无论是在视觉效果上还是在评价指标上都优于由其他小波包变换方法(包括小波变换方法)得到的融合影像。

A new remote sensing image fusion method using wavelet packet transform with best basis

In the process of image fusion with wavelet packet transform,wavelet basis with different properties can exhibit different fusion performances.It is significant to find the best wavelet packet basis and apply it in the process.However,for image fusion,best basis searching algorithm must work within two wavelet packet trees,in the case that the present algorithm only works within one tree.The paper firstly proposes a new searching algorithm working within two trees,then realizes a new image fusion method using wavelet packet transform with the best basis that is developed from the new algorithm.The experiment testifies that under the fusion rule based on texture,the method develops more advantage of wavelet packet transform,and gains a better fusion performance compared with other image fusion methods using wavelet packet transform(including wavelet transform).