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Different Focus Image Fusion Based on Multi-level Scaling

机译：基于多级缩放的不同焦点图像融合

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摘要

Based on the idea of iteration, a simple and effective method for multi-focus image fusion is proposed. Firstly, two images are processed by Gaussian convolution, and the blurred images are obtained. Then, the area decision of image blocks are obtained through the original image subtracting the blurred images at different blocks and different levels. According to the principle of consistency, the subjection of image blocks is obtained by the area decision of image blocks. The area partition map is obtained by the subjection map at different levels. Finally, the fused image is obtained through the method of coefficient weighting. The experimental results show that the image quality obtained by the proposed method is superior to the traditional fusion method.
机译：基于迭代思想，提出了一种简单有效的多焦点图像融合方法。首先，通过高斯卷积处理两个图像，并获得模糊图像。然后，通过将原始图像减去不同块和不同级别的模糊图像来获得图像块的面积判定。根据一致性原理，通过图像块的面积确定来获得图像块的主题。区域划分图是通过主观图在不同级别获得的。最后，通过系数加权的方法获得融合图像。实验结果表明，该方法获得的图像质量优于传统的融合方法。

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