计算机技术与发展2024，Vol.34Issue(4)：62-69,8.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0010
基于区域特征优化及边缘增强的多聚焦图像融合
Multi-focus Image Fusion Based on Feature Optimization of Region and Edge Enhancement
摘要
Abstract
In order to solve the problems of missing focus information and insufficient expression of edge details in multi-focus fusion images,a multi-focus image fusion method based on feature optimization of focus region and edge enhancement is proposed.Firstly,a four direction focusing feature enhancement network is proposed,which can enhance and complete the focusing feature during image coding.Secondly,a new focus region extraction strategy based on spatial frequency(NSF)is proposed,which can efficiently extract the features of focus region in the coding process.Finally,an edge feature enhancement module is proposed,which can effectively calculate the edge gradient of the image to enhance the edge information of the target area.Qualitative and quantitative comparisons were conducted with eight fusion methods in the Lytro dataset and the MFFW dataset.The experimental results show the proposed fusion method can solve the problems of insufficient expression of focus features,incomplete texture details and fuzzy edges in multi-focus fusion images effectively,with remarkable visual effect.关键词
多聚焦图像/图像融合/卷积神经网络/特征优化/边缘增强Key words
multi-focus image/image fusion/convolutional neural network/feature optimization/edge enhancement分类
信息技术与安全科学引用本文复制引用
王程,王巍,杨馨,刘晓文..基于区域特征优化及边缘增强的多聚焦图像融合[J].计算机技术与发展,2024,34(4):62-69,8.基金项目
国家重点研发计划项目(2022YFC31400) （2022YFC31400）
高分辨率对地观测系统重大专项(01-Y30F05-9001-20/22,GFZX0404130307) （01-Y30F05-9001-20/22,GFZX0404130307）
