计算机与数字工程2025，Vol.53Issue(1)：214-220,7.DOI:10.3969/j.issn.1672-9722.2025.01.039
基于引导滤波的红外图像视觉显著增强算法
Infrared Image Visual Saliency Enhancement Algorithm Based on Guided Filter
摘要
Abstract
In the process of infrared image enhancement by guided filtering method,the contrast between the prominent area and the background of the image is often not effectively enhanced,and the details are not effectively optimized.To solve this prob-lem,a vision enhancement algorithm based on multi-scale guided filtering is proposed.Based on guided filtering,infrared images are divided into basic layer and detail layer images,which are enhanced by local saliency image weight fusion and adaptive Gamma correction method,respectively.On this basis,the infrared original image,the enhanced basic layer image and the detail layer im-age are fused according to the weight factor to get the final enhanced infrared image.Experimental results show that the information entropy,PSNR and image standard deviation of the proposed algorithm are significantly improved compared with other algorithms in three different scenarios.This algorithm can highlight the important details that human eyes pay attention to in the image,effectively reduce the noise interference,and the enhanced infrared image is clearer.关键词
红外图像增强/引导滤波/局部显著图/权重融合/自适应Gamma校正Key words
infrared image enhancement/guided filter/local saliency image/weighting fusion/adaptive Gamma correction分类
信息技术与安全科学引用本文复制引用
李志远,李鑫,朱发兴,蒋彦龙,吴寒旭..基于引导滤波的红外图像视觉显著增强算法[J].计算机与数字工程,2025,53(1):214-220,7.基金项目
江苏省研究生实践创新计划项目(编号:KYCX21_0227) （编号:KYCX21_0227）
国家自然科学基金项目(编号:12002161)资助. （编号:12002161）
