A novel method about multi-focus image fusion

被引：0

作者：

Luo, Xiaoqing ^{[1
]}

Wu, XiaoJun ^{[1
]}

机构：

[1] School of IoT Engineering, Jiangnan University, Wuxi

来源：

International Journal of Digital Content Technology and its Applications | 2012年 / 6卷 / 19期

关键词：

Fusion Rules; Image Fusion; Multi-Focus; Type; Wavelets Transform;

D O I：

10.4156/jdcta.vol6.issue19.70

中图分类号：

学科分类号：

摘要：

In this paper, a new multi-focus image fusion method based on wavelet transform is proposed. It aims to combine a set of images that are captured from the same scene but with different focuses for producing another sharper image. The image fusion process is looked as a three categories problem: detail, plain and transition. Sharpness and similarity criterion are used for distinguish the type of image. According to the type of image, we can design efficient fusion rules, which based on pixel or region. This new method provides improved subjective and objectives results compared to the previous fusion methods.

引用

页码：583 / 590

页数：7

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