文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 Multi-focus Image Fusion Based on Image Decomposition and Quad Tree Decomposition
卷期 25:3
作者 Zhang, YongxinChen, LiZhao, ZhihuaJia, Jian
頁次 001-010
關鍵字 image fusionimage decompositionquad tree decompositiontotal variationEIMEDLINEScopus
出刊日期 201412

中文摘要

英文摘要

In order to efficiently represent source images and inhibit the blocking artifacts, a novel multi-focus image fusion scheme based on image decomposition and quad tree (QT) decomposition is proposed. The registered source images are first decomposed into cartoon and texture components by using image decomposition, and then, QT decomposition is performed on the cartoon and texture components. The salient features of the cartoon and texture components construct the feature space. The focused regions of the source images are detected by the salient features of the cartoon and texture components. The final fused image can be produced by combining the image regions that corresponding to the focused component regions. Experimental results have demonstrated that the proposed method can efficiently inhibit the blocking artifacts and significantly improve the fusion quality compared to the other existing fusion methods in both spatial and transform domain.

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