郑州大学学报（理学版）2025，Vol.57Issue(4)：47-54,8.DOI:10.13705/j.issn.1671-6841.2023235
基于边缘端的红外图像增强算法
Infrared Image Enhancement Algorithm Based on Edge
摘要
Abstract
In recent years,the low latency and high efficiency characteristics of edge computing have ex-tensive applications in infrared imaging systems,which could effectively reduce operational costs.Howev-er,issues such as low contrast and blurry details in infrared images still needed to be addressed.To solve these problems,an edge infrared image enhancement algorithm based on Lagrange interpolation and multi-scale guided filtering was proposed.This algorithm consisted of two phases.In the first phase,the Lagrange interpolation algorithm was used to achieve non-uniform correction for infrared data in the edge end.The Lagrange nonlinear interpolation was more in line with the response curve of the infrared detec-tor,which effectively solved the problem of non-uniform noise introduced during imaging.In the second phase,multi-scale guided filtering was employed to process the infrared image in a hierarchical manner.Multiple scales were used to extract various details from images,and by fusing these different detail lay-ers,a richer detailed information was obtained.Experimental results demonstrated that,compared to 5 traditional algorithms,this algorithm outperformed the suboptimal algorithm by 15.2％in the enhance-ment measure evaluation metric and achieved a 7.9％improvement in the peak signal to noise ratio met-ric.关键词
边缘计算/非均性校正/拉格朗日插值/多尺度引导滤波Key words
edge computing/non-uniformity correction/Lagrange interpolation/multi-scale guided filtering分类
计算机与自动化引用本文复制引用
陈明,马国强,黄万伟,高铁梁,李玉华,牛燕菲..基于边缘端的红外图像增强算法[J].郑州大学学报（理学版）,2025,57(4):47-54,8.基金项目
国家自然科学基金项目(62072414) （62072414）
河南省重点研发与推广专项项目(212102210104,162102210214) （212102210104,162102210214）
