基于Hess矩阵的多聚焦图像融合方法

肖斌; 唐翰; 徐韵秋; 李伟生

doi:10.11999/JEIT170497

基于Hess矩阵的多聚焦图像融合方法

doi: 10.11999/JEIT170497

基金项目:

国家自然科学基金(61572092, U1401252)，国家重点研发计划(2016YFC1000307-3)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-05-24
- 修回日期: 2017-10-18
- 刊出日期: 2018-02-19

Multi-focus Image Fusion Based on Hess Matrix

Funds:

The National Natural Science Foundation of China (61572092, U1401252), The National Science and Technology Major Project (2016YFC1000307-3)

摘要

摘要: 该文提出了一种基于Hess矩阵的多聚焦图像融合方法。该方法利用多尺度下的Hess矩阵检测特征和背景区域，并在此基础上，将源图像分成特征区域与非特征区域，分别采用不同的融合策略生成决策图；然后通过结合不同部分的决策图，得到初始决策图；最后采用后处理方法对初始决策图进行精化，得到最终的融合图像。为了提高融合效果，该文还提出了一种基于多尺度Hess矩阵的聚焦评价方法。同时引入积分图像进行快速计算，以满足实时性要求。实验结果表明，该方法在主观视觉感知和客观评价指标方面都要略优于现有的方法。
- 多聚焦图像融合 /
- Hess矩阵 /
- 积分图
Abstract: This paper proposes a Hess (also known as Hessian) matrix-based multi-focus image fusion method. In this method, multi-scale Hess matrix is utilized to detect feature and background regions. On this basis, source images are split into two different parts, and different fusion strategies are applied to generating decision map respectively. By combining decision maps in different parts, an initial decision map is obtained, and then the initial decision map is refined with post-processing method. To improve the performance of the fusion method, a new focus measure is proposed based on multi-scale Hess matrix for both feature and background regions. Integral images are also introduced for fast computation to meet the real-time application requirements. Experimental results demonstrate that the proposed method is competitive with or even outperforms the state-of-the-art methods in terms of both subjective visual perception and objective evaluation metrics.
- Multi-focus image fusion /
- Hess matrix /
- Integral images

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参考文献(17)

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