生物医学工程研究2026，Vol.45Issue(4)：288-296,9.DOI:10.19529/j.cnki.1672-6278.2026.04.04
一种鲁棒的指静脉近红外图像质量修复模型
A robust model for restoring near-infrared image quality of finger veins
赵英梦 1李涵 1刘善奇 1李彦蓉 1刘庆一 1白培瑞1
作者信息
- 1. 山东科技大学 电子信息工程学院,青岛 266590
- 折叠
摘要
Abstract
In order to address the issue that the existing image inpainting methods are mostly designed for a single type of degrada-tion,making it difficult to simultaneously achieve both structural restoration and detail enhancement in complex degradation environ-ments,we proposed an adaptive image quality inpainting model for different frequency components based on the analysis of the physical model of image quality degradation.Firstly,the Fourier transform and its learnable frequency mask were used to separate the high and low-frequency components of the degraded image.Then,for the low-frequency and high-frequency components of the image,direc-tional attention and spatial adaptive feature modulation modules were introduced to build feature enhancement paths,and the frequency cross-attention fusion mechanism was used to improve the restoration performance.The proposed model was validated on the finger vein datasets FV-USM and MMCBNU＿6000.Experimental results showed that the proposed model achieved peak signal to noise ratio(PSNR)values of 40.8218 and 42.5337 dB,and structural similarity index measure(SSIM)values of 0.9842 and 0.9873,respective-ly.This research demonstrates excellent adaptability and robustness when dealing with different types of degraded finger vein images,improving the accuracy and stability of identity recognition.关键词
指静脉图像修复/生物特征识别/频率分离/方向滤波/交叉注意力Key words
Finger vein image inpainting/Biometric recognition/Frequency separation/Directional filtering/Cross-attention分类
医药卫生引用本文复制引用
赵英梦,李涵,刘善奇,李彦蓉,刘庆一,白培瑞..一种鲁棒的指静脉近红外图像质量修复模型[J].生物医学工程研究,2026,45(4):288-296,9.
