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Mutual spectral residual approach for multifocus image fusion

机译:互谱残差方法用于多焦点图像融合

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摘要

Multifocus image fusion is the process of obtaining a single image from multiple partially focused images such that the newly formed image consists of the well-defined information extracted from each source image. This paper proposes the use of saliency of the source images based on Mutual Spectral Residual. Spectral Residual brings out the unique/salient features of an image in frequency domain. The idea of proposed mutual spectral residual is to emphasize the relative unique features of a source image with respect to the other source images. The relative unique features are utilized to form saliency maps for each source image. These saliency maps can clearly indicate the focused and defocused parts of an image. Based on the saliency maps obtained, the image fusion takes place in spatial domain. Visual inspection and quantitative evaluation of the fused images obtained by the proposed method, using different evaluation metrics, demonstrate its effectiveness over several existing image fusion methods.
机译:多焦点图像融合是从多个部分聚焦的图像中获取单个图像的过程,以使新形成的图像包含从每个源图像中提取的定义明确的信息。本文提出了基于互谱残差的源图像显着度的使用。频谱残差在频域中展现出图像的独特/显着特征。提出的互谱残差的思想是强调源图像相对于其他源图像的相对独特特征。相对独特的特征被用来为每个源图像形成显着图。这些显着性图可以清楚地指示图像的聚焦和散焦部分。基于获得的显着性图,图像融合在空间域中进行。通过使用不同的评估指标,对所提方法获得的融合图像进行目视检查和定量评估,证明了其在几种现有图像融合方法上的有效性。

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