计算机技术与发展2026，Vol.36Issue(8)：41-49,9.DOI:10.20165/j.cnki.ISSN1673-629X.2026.0082
基于选通图像的多焦点图像融合算法研究
Research on Multi-focus Image Fusion Algorithms Based on Gated Images
摘要
Abstract
Gated imaging,leveraging the layer-by-layer scanning and imaging characteristics of gated cameras for scenes at different depths,exhibits significant advantages in target recognition and structure restoration in complex scenarios.However,constrained by system noise,single-exposure conditions,and hardware resolution,gated images generally suffer from issues such as low signal-to-noise ratio(SNR),local blurriness,and incomplete detailed information,which severely restrict image quality and the accuracy of subsequent information extraction.Multi-focus fusion technology can effectively alleviate image blurriness and structural defects,yet existing methods still show limitations in focus representation,boundary modeling,and semantic interaction for grayscale images.To address these problems,we propose a multi-focus fusion network for gated images,named MGIF-Net(Multi-focus Gated Images Fusion Network).Firstly,a lightweight SE-ResNet-based shallow attention module is adopted to enhance the expressive ability of focus regions and suppress redundant information.Secondly,the Deep-Fuse deep feature interaction module is introduced to strengthen the fusion of boundary structures and semantic information.Finally,a multi-scale feature fusion module(MSFF)is constructed to realize cross-scale joint modeling,thereby improving structural consistency and detail preservation.Experiments conducted on gated image datasets,Lytro,and MFFW datasets demonstrate that MGIF-Net outperforms existing methods in objective evaluation metrics such as SSIM and information entropy.It also exhibits stronger robustness in blurred boundary restoration and detail recovery in complex background regions,which verifies the effectiveness and advancement of the proposed model.This research provides reliable technical support for en-hancing the application value of gated images.关键词
多焦点图像融合/选通图像/深度特征融合/多尺度建模/注意力机制Key words
multi-focus image fusion/gated images/deep feature fusion/multi-scale modeling/attention mechanism分类
信息技术与安全科学引用本文复制引用
田青,苏柳源,张正,张德馨..基于选通图像的多焦点图像融合算法研究[J].计算机技术与发展,2026,36(8):41-49,9.基金项目
国家重点研发计划资助(2024QY2632) （2024QY2632）
