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.%利用全局搜索策略,设计适用于图像融合的最佳Log-Gabor滤波器组,并提出了一种基于自适应局部Log-Gabor能量的多聚焦图像融合方法:首先将多聚焦图像进行自适应分块,然后用最佳Log-Gabor滤波器组对这些子图像进行滤波,从而提取出该子图像的Log-Gabor能量,比较对应子图像的Log-Gabor能量,以挑选出其中清晰的像素并进行一致性检验,重构图像.本文给出了融合实验结果和各项评价指标,结果表明该方法与经典的融合方法相比性能更优,明显提高融合图像质量和运行效率.
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