Image fusion algorithm using the multiresolution directional-oriented hermite transform
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
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Because of the benefits of image fusion, although higher resolution remote sensing data are available now, image fusion is still a popular method for better interpreting image data. This paper focuses on a novel region-based image fusion method which facilitates increased flexibility with the definition of a variety of fusion rules. To do that, we use the curvelet transform to merge the details of images. Also, we introduce a fusion rule decision based on the linear algebra that helps to do a better fusion of detail coefficients of the curvelet transform. The experimental results show improvement of the proposed method compared with the well-known methods.