Improving high-pass fusion method using wavelets
This work addresses a specific issue in remote sensing image fusion for improved visual quality, but it is incremental as it modifies an existing method.
The paper tackled the ringing effect in high-pass modulation image fusion by replacing boxcar filters with wavelet transforms, resulting in superior performance over existing methods as measured by correlation coefficient and mutual information.
In an appropriate image fusion method, spatial information of the panchromatic image is injected into the multispectral images such that the spectral information is not distorted. The high-pass modulation method is a successful method in image fusion. However, the main drawback of this method is that this technique uses the boxcar filter to extract the high frequency information of the panchromatic image. Using the boxcar filter introduces the ringing effect into the fused image. To cope with this problem, we use the wavelet transform instead of boxcar filters. Then, the results of the proposed method and those of other methods such as, Brovey, IHS, and PCA ones are compared. Experiments show the superiority of the proposed method in terms of correlation coefficient and mutual information.