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Multi-focus image fusion technique can solve the problem that not all the targets in an image are clear in case of imaging in the same scene. In this paper, a novel multi-focus image fusion technique is presented, which is developed by using the nonsubsampled contourlet transform (NSCT) and a proposed fuzzy logic based adaptive pulse-coupled neural network(More)
Pan-sharpening aims to sharpen a low spatial resolution multispectral (MS) image by combining the spatial detail information extracted from a panchromatic (PAN) image. An effective pan-sharpening method should produce a high spatial resolution MS image while preserving more spectral information. Unlike traditional intensity-hue-saturation (IHS)and principal(More)
Multifocus image fusion generates a single image by combining redundant and complementary information of multiple images coming from the same scene. The combination, includes more information of the scene than any of the individual source images. In this paper, a novel multifocus image fusion method based on extreme learning machine (ELM) and human visual(More)
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