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Multifocus image fusion scheme using focused region detection and multiresolution

机译:使用聚焦区域检测和多分辨率的多聚焦图像融合方案

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摘要

To solve the fusion problem of the multifocus images of the same scene, a novel algorithm based on focused region detection and multiresolution is proposed. In order to integrate the advantages of spatial domain-based fusion methods and transformed domain-based fusion methods, we use a technique of focused region detection and a new fusion method of multiscale transform (MST) to guide pixel combination. Firstly, the initial fused image is acquired with a novel multiresolution image fusion method. The pixels of the original images, which are similar to the corresponding initial fused image pixels, are considered to be located in the sharply focused regions. By this method, the initial focused regions can be determined, and the techniques of morphological opening and closing are employed for post-processing. Then the pixels within the focused regions in each source image are selected as the pixels of the fused image; meanwhile, the initial fused image pixels which are located at the focused border regions are retained as the pixels of the final fused image. The fused image is then obtained. The experimental results show that the proposed fusion approach is effective and performs better in fusing multi-focus images than some current methods.
机译:针对同一场景的多焦点图像融合问题,提出了一种基于聚焦区域检测和多分辨率的新算法。为了整合基于空间域的融合方法和基于变换域的融合方法的优势,我们使用了聚焦区域检测技术和一种新的多尺度变换(MST)融合方法来指导像素组合。首先,利用新颖的多分辨率图像融合方法获取初始融合图像。与相应的初始融合图像像素相似的原始图像像素被认为位于锐利聚焦区域中。通过这种方法,可以确定最初的聚焦区域,并采用形态学开合技术进行后处理。然后选择每个源图像中聚焦区域内的像素作为融合图像的像素;同时,位于聚焦边界区域的初始融合图像像素被保留为最终融合图像的像素。然后获得融合图像。实验结果表明,所提出的融合方法是有效的,并且在融合多焦点图像方面比目前的一些方法表现更好。

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