To address the problem that the traditional multi-focus images fusion methods cannot fully use of spatial context information. A novel image segmentation method for multi-focus image fusion is proposed. This method consists of two main steps, using PSPnet combined, and the region optimization using ConvCRFs for multi-focus image fusion. PSPnet is utilized to extract the focused region of the source image, and ConvCRFs is used to optimize the segmentation map to obtain a refined map. Finally, 20 couples of color multi-focus images are employed as experimental datasets, and the contrast results show that the proposed method has a better fusion visual effect than the other state-of-the-art in subjective and objective point of view.

中文翻译：

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Fusion PSPnet 基于图像分割的多焦点图像融合方法

解决传统多焦点图像融合方法无法充分利用空间上下文信息的问题。提出了一种新的多焦点图像融合图像分割方法。该方法包括两个主要步骤，使用 PSPnet 组合，以及使用 ConvCRFs 进行多焦点图像融合的区域优化。利用PSPnet提取源图像的​​聚焦区域，利用ConvCRFs对分割图进行优化，得到细化图。最后，采用20对彩色多焦点图像作为实验数据集，对比结果表明，所提出的方法在主观和客观上都比其他现有技术具有更好的融合视觉效果。