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Along with the development of wavelet transform (WT) technique, sparse representation as a new tool also gradually lead to the researchers' wide interests. In our study, a sparse representation based unified image fusion model is introduced. Under this fusion model, we compare several fusion results of combining different overcomplete dictionaries and sparse coefficients, and eventually find a best...
This paper proposes a novel medical image fusion algorithm based on pixel salience metric in gradient domain. We first obtain the gradient image of every input image and measure their salience map, and then use saliency to weight gradient pixel to acquire a target gradient field. Applying dynamic range compression (DRC) algorithm to reduce halo effect. Finally, exploiting successive over-relaxation...
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