Evaluation of focus measures in multi-focus image fusion

Evaluation of focus measures in multi-focus image fusion
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多焦点图像融合中焦点测量的评估

DOI:
10.1016/j.patrec.2006.09.005
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发表时间:
2007-03-01
影响因子:
5.1
通讯作者:
Jing, Zhongliang
Jing, Zhongliang
中科院分区:
计算机科学3区
文献类型:
--
作者:
Huang, Wei;Jing, Zhongliang

文献摘要

被引文献

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在多聚焦图像融合领域,本文研究了几种聚焦度量作为图像清晰度的度量。所有这些聚焦度量都是在空间域定义的,可以在实时融合系统中实现,具有快速响应和鲁棒性。本文提出了一种根据聚焦度量区分聚焦图像块和散焦图像块的能力来评估聚焦度量的方法。在几组图像上进行了实验,结果表明,在不考虑执行时间的情况下,和修正拉普拉斯(SML)能提供比其他聚焦度量更好的性能。(C)2006爱思唯尔B.V.保留所有权利。
Several focus measures were studied in this paper as the measures of image clarity, in the field of multi-focus image fusion. All these focus measures are defined in the spatial domain and can be implemented in real-time fusion systems with fast response and robustness. This paper proposed a method to assess focus measures according to focus measures' capability of distinguishing focused image blocks from defocused image blocks. Experiments were conducted on several sets of images and results show that sum-modified-Laplacian (SML) can provide better performance than other focus measures, when the execution time is not included in the evaluation. (c) 2006 Elsevier B.V. All rights reserved.