科研之友
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摘要
A method for multi-focus image fusion based on adaptive localized Log-Gabor energy is proposed. The best Log-Gabor filter banks for image fusion are designed by the global search strategy. Multi-focus image is adaptively divided into some sub-blocks. Sub-image is filtered by the best Log-Gabor filter banks for extracting Log-Gabor energy of the sub-image. The clear pixels of image are picked out by comparing corresponding the Log-Gabor energy of sub-image, then the consistency is checked. Finally, image is reconstructed. Experimental results show that the proposed method provides superior performance over conventional fusion methods in improving the quality of fused images and the operational efficiency.
