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基于MSR和AMSR的红外融合增强算法

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  • 中国电子科技集团公司第五十二研究所, 浙江 杭州 310000

收稿日期: 2021-06-04

  网络出版日期: 2022-05-25

基金资助

国防科技创新特区项目资助

Infrared Image Fusion Enhancement Algorithm Based on MSR and AMSR

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  • The 52nd Research Institute of China Electronics Technology Group Corporation, Hangzhou 310000, Zhejiang, China

Received date: 2021-06-04

  Online published: 2022-05-25

摘要

红外传感器的成像特点,使得所采集的红外图像存在对比度低、清晰度差、信噪比低、边缘信息模糊等问题。为此提出基于多尺度视网膜(multi-scale retinex,MSR)和自适应多尺度视网膜(adaptive multi-scale retinex,AMSR)的红外融合增强及其优化算法。实验结果表明,所提算法能够有效提高红外图像的对比度和清晰度,在主观视觉效果和客观评价指标上均优于单尺度视网膜算法、MSR算法、AMSR算法。

本文引用格式

刘硕, 瞿崇晓, 祝中科, 张福俊, 范长军 . 基于MSR和AMSR的红外融合增强算法[J]. 应用科学学报, 2022 , 40(3) : 423 -433 . DOI: 10.3969/j.issn.0255-8297.2022.03.006

Abstract

There are some problems related to infrared images, such as low contrast, poor definition, low signal to noise ratio and blurred edge information for infrared sensors. In this paper, an infrared fusion enhancement algorithm and the improvement of the algorithm are proposed based on the combination of multi-scale retinex (MSR) and adaptive multi-scale retinex (AMSR). Experimental results show that the proposed algorithms can improve the contrast and definition of infrared images. And the algorithms are better than single scale retinex (SSR), multi-scale retinex (MSR), adaptive multi-scale retinex (AMSR) in subjective visual effects and objective evaluation criteria.

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