改进多尺度的Retinex红外图像增强

魏然然; 詹伟达; 朱德鹏; 田永

doi:10.37188/CJLCD.2020-0109

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改进多尺度的Retinex红外图像增强

图像处理 | 更新时间：2021-03-23

- 改进多尺度的Retinex红外图像增强
- Improved multi-scale Retinex infrared image enhancement
- 液晶与显示 2021年36卷第3期页码：465-474
- 作者机构：
  
  长春理工大学电子信息工程学院, 吉林长春 130022
- 作者简介：
  
  [ "魏然然(1995-), 女, 河南商丘人, 硕士研究生, 2018年于长春理工大学获得学士学位, 主要从事红外图像增强方面的研究。E-mail:1603409002@qq.com" ]
  [ "詹伟达(1979-), 男, 吉林长春人, 博士, 教授, 2011年于长春理工大学获得博士学位, 主要从事红外成像技术方面的研究。E-mail: 40946711@qq.com" ]
- 基金信息：
  
  吉林省教育厅"十三五"科学研究规划项目(JJKH20200783KJ)
- DOI：10.37188/CJLCD.2020-0109
  中图分类号： TP391
- 收稿日期：2020-07-28，
  
  录用日期：2020-10-16，
  
  纸质出版日期：2021-03
- 稿件说明：
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魏然然, 詹伟达, 朱德鹏, 等. 改进多尺度的Retinex红外图像增强[J]. 液晶与显示, 2021,36(3):465-474.

Ran-ran WEI, Wei-da ZHAN, De-peng ZHU, et al. Improved multi-scale Retinex infrared image enhancement[J]. Chinese journal of liquid crystals and displays, 2021, 36(3): 465-474.
魏然然, 詹伟达, 朱德鹏, 等. 改进多尺度的Retinex红外图像增强[J]. 液晶与显示, 2021,36(3):465-474. DOI： 10.37188/CJLCD.2020-0109.

Ran-ran WEI, Wei-da ZHAN, De-peng ZHU, et al. Improved multi-scale Retinex infrared image enhancement[J]. Chinese journal of liquid crystals and displays, 2021, 36(3): 465-474. DOI： 10.37188/CJLCD.2020-0109.

摘要

为了解决传统的多尺度Retinex算法在对红外图像细节增强时产生光晕现象和增强图像噪声等问题，提出一种改进引导滤波器的多尺度Retinex的红外图像细节增强算法。首先，采用改进的引导滤波器代替高斯滤波器对红外图像进行入射分量的精确估计，并计算出其反射分量，以减少图像中的噪声，改善光晕现象。其次，对入射分量进行自适应性灰度拉伸处理，对反射分量采用较平缓的非线性曲线进行校正，以达到更好地增强红外图像总体亮度和对比度的目的。实验结果表明：本文算法与其他算法相比信息熵、峰值信噪比、平均梯度、标准差都有一定的改善，同时该算法所得到的红外增强图像的对比度更高，细节信息更丰富，人眼视觉效果更好。

Abstract

In order to solve the problems of halo phenomenon and image noise enhancement when the traditional multi-scale Retinex algorithm enhances the details of infrared images

an infrared image detail enhancement algorithm based on improved mult-iscale Retinex is proposed. Firstly

an improved guided filter is used instead of the Gaussian filter to accurately estimate the incident component of the infrared image and calculate its reflection component to reduce the noise in the image and improve the halo phenomenon. Secondly

an adaptive grayscale stretching process is performed on the incident component

and a smoother non-linear curve is used to correct the reflected component

so as to achieve the purpose of better enhancing the overall brightness and contrast of the infrared image. The experimental results show that compared with other corresponding algorithms

the information entropy

peak signal-to-noise ratio

average gradient

and standard deviation have been improved. At the same time

the infrared enhanced image obtained by this algorithm has higher contrast and clearer details. The human eyes have better visual effects.

关键词

Keywords

references

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