A Wavelet based image fusion method using local multiscale image regularity

This paper presents an image fusion method which uses an image dependent multiscale decomposition and a fusion rule which is based on the local image multiscale activity. The latter is used for determining a proper partition of the frequency plane where the max-based fusion strategy is applied; the same image activity is used for guiding the max-based fusion rule. Multiscale local image activity is computed using an estimation of the local Lipschitz regularity at different resolutions. Preliminary experimental results show that the proposed method is able to provide satisfying fusion results in terms of details preservation of the visible image, extraction of the important regions in the infrared image, reduction of artifacts and noise amplification. Presented results, even if in their preliminary form, are able to reach and outperform some of the most recent and performing fusion methods.