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[1]董晨鹏,郭政义,马怡冉,等.基于Laws特征增强的多聚焦图像融合方法 [J].武汉工程大学学报,2025,47(06):658-663,682.[doi:10.19843/j.cnki.CN42-1779/TQ.202408012]
　DONG Chenpeng,GUO Zhengyi,MA Yiran,et al.A multi-focus image fusion method based on Laws feature enhancement [J].Journal of Wuhan Institute of Technology,2025,47(06):658-663,682.[doi:10.19843/j.cnki.CN42-1779/TQ.202408012]
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基于Laws特征增强的多聚焦图像融合方法
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
47
期数:
2025年06期
页码:
658-663,682
栏目:
智能制造
出版日期:
2025-12-31

文章信息/Info

Title:
A multi-focus image fusion method based on Laws feature enhancement
文章编号:
1674 - 2869（2025）06 - 0658 - 06
作者:
董晨鹏1; 郭政义1 ; 马怡冉1 ; 颜超1; 章秀华*1; 2; 3
1. 武汉工程大学机电工程学院，湖北 武汉 430205；
2. 光学信息与模式识别湖北省重点实验室，湖北 武汉 430205；
3. 湖北省视频图像与高清投影工程技术研究中心，湖北 武汉 430205
Author(s):
DONG Chenpeng1;  GUO Zhengyi1;  MA Yiran1;  YAN Chao1;  ZHANG Xiuhua*1; 2; 3
1. School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China;
2. Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan 430205, China;
3. Hubei Engineering Technology Research Center of Video Image and HD Projection, Wuhan 430205, China
关键词:
多聚焦图像; 图像融合; Laws特征增强; 极值策略
Keywords:
multi-focus image fusion;  image fusion;  Laws feature enhancement;  extremum strategy
分类号:
TP391
DOI:
10.19843/j.cnki.CN42-1779/TQ.202408012
文献标志码:
A
摘要:
针对细节丢失和块效应等影响融合图像质量的问题，提出了一种基于Laws特征增强的多聚焦图像融合方法。首先，利用Laws滤波提取多聚焦图像的Laws特征，得到Laws特征图；用改进的均值滤波方法对Laws特征图进行增强处理，得到特征增强图，并对特征增强图采用极值策略提取决策图：最后，将源图像与决策图进行加权融合，得到融合结果。使用该方法对大量图像进行实验处理，结果表明：与其他融合方法相比，基于归一化互信息度量值最大提升 32.87%，基于多尺度方案图像融合度量值增加 26.57%。该图像融合方法显著提高视觉效果，具有较强的鲁棒性，适用于光场相机的全景深成像。
Abstract:
In response to the problems of detail loss and blocking artifacts that easily affect the image quality during the multi-focus image fusion process, a method based on Laws feature enhancement was proposed. First, we extracted the Laws features of the multi-focus image using the Laws filter to obtain the Laws feature map; we enhanced the Laws feature map using the improved mean filtering algorithm to obtain the feature-enhanced map; then we applied the extremum strategy to the feature-enhanced map to obtain the decision map; finally, we performed weighted fusion between the source image and the decision map to obtain the fusion result. Extensive experiments were conducted on a large number of images, and the results showed that, comparing with existing fusion methods, the normalized mutual information metric and the multi-scale scheme image fusion metric had increased by 32.87% and 26.57%, repectively. It can be concluded that the method developed can significantly improve the visual effects with strong robustness, thereby being suitable for all-in-focus imaging of light field cameras.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2024-08-09
基金项目：武汉工程大学第十五届研究生教育创新基金(CX2023263)
作者简介：董晨鹏,硕士研究生。Email: 3288109302@qq.com
*通信作者：章秀华,博士,教授。Email: amyyzxh@wit.edu.com
更新日期/Last Update: 2026-01-06