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Image Fusion Algorithm Based on Gradient Pyramid and its Performance Evaluation
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DOI：10.4028/www.scientific.net/amm.525.715.png)
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Abstract
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Image fusion algorithm based on gradient pyramid is one of the multi-scale, multi-resolution decomposition algorithms. Original image was decomposed into Gauss pyramid, after that, gradient decomposition was completed on each layer in four directions, and fusion effect was evaluated by taking using of entropy, average gradient, mean and standard deviation. Simulation results show that gradient pyramid algorithm is effective to multi-focus image and color image.
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