首页 | 本学科首页   官方微博 | 高级检索  
     

引导滤波和对数变换算法融合的多尺度Retinex红外图像增强
引用本文:陈文艺,杨承勋,杨辉. 引导滤波和对数变换算法融合的多尺度Retinex红外图像增强[J]. 红外技术, 2022, 44(4): 397-403
作者姓名:陈文艺  杨承勋  杨辉
作者单位:1.西安邮电大学 现代邮政学院, 陕西 西安 710061
摘    要:针对采用红外成像仪获取红外图像边缘模糊、对比度差等缺点造成图像视觉效果差、质量低等问题.以多尺度Retinex算法为框架,依据引导滤波保边和梯度保持性,提出引导滤波和对数变换算法融合的多尺度Retinex红外图像增强方法.首先,用引导滤波替换MSR算法中的高斯滤波来估计照度分量.其次,将照度分量经过对数变换处理,执行低...

关 键 词:红外图像  图像增强  多尺度Retinex  引导滤波  对数变换
收稿时间:2020-05-31

Multiscale Retinex Infrared Image Enhancement Based on the Fusion of Guided Filtering and Logarithmic Transformation Algorithm
CHEN Wenyi,YANG Chengxun,YANG Hui. Multiscale Retinex Infrared Image Enhancement Based on the Fusion of Guided Filtering and Logarithmic Transformation Algorithm[J]. Infrared Technology, 2022, 44(4): 397-403
Authors:CHEN Wenyi  YANG Chengxun  YANG Hui
Affiliation:1.School of Modern Posts, Xi'an University of Posts and Telecommunications, Xi'an 710061, China2.School of Electrical Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China
Abstract:Problems such as blurred edges and poor contrast in infrared images acquired by an infrared imager lead to poor visual effects and low image quality. Based on the multi-scale Retinex (MSR) algorithm, a MSR infrared image enhancement method based using guided filter edge preserving and gradient preserving is proposed. Firstly, a guided filter is used in place of the Gaussian filter in the MSR algorithm to estimate the illuminance component. Secondly, the illumination component is processed via logarithmic transformation, expanding the low end of the gray scale and compressing the high end. Finally, the detail layer image obtained using guided filtering is linearly amplified and superimposed with the MSR processed image to obtain an enhanced infrared image. Experimental results demonstrate that the proposed algorithm can effectively improve the quality of infrared image compared with the conventional MSR algorithm and guided filter.
Keywords:
本文献已被 万方数据 等数据库收录!
点击此处可从《红外技术》浏览原始摘要信息
点击此处可从《红外技术》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号