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We present a novel image fusion algorithm based on ICA that has an improved performance over sensor networks. It employs segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from the given regions. Sparse coding of the coefficients in ICA domain is used to minimize noise transferred from input images into the fused output. Experimental...
In this paper we present a novel algorithm for fusion of multimodal surveillance images, based on ICA, which has an improved performance over sensor networks. Improvements have been demonstrated through separate training process for different modalities and the use of a fusion metric to maximise the quality of the fused image. Sparse coding of the coefficients in ICA domain is used to minimize noise...
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