颜色对比度增强的红外与可见光图像融合方法

曾祥通; 张玉珍; 孙佳嵩; 喻士领

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颜色对比度增强的红外与可见光图像融合方法

曾祥通, 张玉珍, 孙佳嵩, 喻士领

文章导航 > 红外与激光工程 > 2015 > 44(4): 1198-1202

曾祥通, 张玉珍, 孙佳嵩, 喻士领. 颜色对比度增强的红外与可见光图像融合方法[J]. 红外与激光工程, 2015, 44(4): 1198-1202.

引用本文:

曾祥通, 张玉珍, 孙佳嵩, 喻士领. 颜色对比度增强的红外与可见光图像融合方法[J]. 红外与激光工程, 2015, 44(4): 1198-1202.

Zeng Xiangtong, Zhang Yuzhen, Sun Jiasong, Yu Shiling. One color contrast enhanced infrared and visible image fusion method[J]. Infrared and Laser Engineering, 2015, 44(4): 1198-1202.

Citation:

Zeng Xiangtong, Zhang Yuzhen, Sun Jiasong, Yu Shiling. One color contrast enhanced infrared and visible image fusion method[J]. Infrared and Laser Engineering, 2015, 44(4): 1198-1202.

颜色对比度增强的红外与可见光图像融合方法

曾祥通^1,2,
张玉珍^1,2,
孙佳嵩^1,2,
喻士领^1,2

1.
南京理工大学电子工程与光电技术学院,江苏南京 210094;
2.
江苏省光谱成像与智能感知重点实验室,江苏南京 210094

基金项目:

国家自然科学基金(6177091)

详细信息

作者简介:
曾祥通(1989-),男,硕士生,主要从事图像融合和目标识别与跟踪方面的研究.Email:zengxt2013@126.com

中图分类号: TP391

One color contrast enhanced infrared and visible image fusion method

1.
School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;
2.
Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense,Nanjing 210094,China

摘要: 针对红外与可见光彩色融合图像中目标与背景间的低对比度的问题,提出一种基于HSI空间颜色对比度增强的红外和可见光图像融合方法.首先对输入的可见光与红外图像进行直方图均衡和中值滤波加强处理,然后对加强的红外图像模糊阈值分割得到红外目标,最后把分割的红外目标图像和加强的可见光和红外图像在HSI空间的三通道线性融合和色彩传递,为了增强目标与背景间的颜色对比度,在色彩传递阶段, H通道的色彩传递方程中引入一个比例因子.实验结果表明：与其他算法相比,该方法得到的彩色融合图像热目标和低温物体与背景间的颜色对比度明显加强,同时背景的细节信息呈现白天类似的自然彩色,更加符合人眼视觉感知.
- 颜色对比度增强 /
- 图像融合 /
- HSI空间 /
- 色彩传递
Abstract: Focus on color fusion for infrared and visible images with low contrast between target and background issues, a contrast enhancement method for infrared and visible image was presented based on HSI color space. Firstly, the contrast of infrared and visible images was enhanced using local histogram equalization and median filter, then the infrared target was extracted from the enhanced infrared image after fuzzy threshold segmentation. Finally, the two enhanced images and the segmentation infrared target were fused into the three components of a HSI image in terms of a simple linear fusion strategy and color transfer. To enhance the color contrast between the target and the background, a scaling factor was introduced into the transferring equation in the H channel during color transfer process. The experimental results show that, compared with other algorithms, the color fusion images of hot target and color contrast between low temperature object and background abtained by the presented method enhance obviously. At the same time, the details of visible images are endowed with natural color similar to that of the light color images during the day, which is more confortable to the human's visual perception.
- color contrast enhancement /
- image fusion /
- HSI space /
- color transfer

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颜色对比度增强的红外与可见光图像融合方法

1. 南京理工大学电子工程与光电技术学院,江苏南京 210094;

2. 江苏省光谱成像与智能感知重点实验室,江苏南京 210094

作者简介:
曾祥通(1989-),男,硕士生,主要从事图像融合和目标识别与跟踪方面的研究.Email:zengxt2013@126.com

收稿日期: 2014-08-12
修回日期: 2014-09-15
刊出日期: 2015-04-25

基金项目:

国家自然科学基金(6177091)

中图分类号: TP391

关键词:

摘要: 针对红外与可见光彩色融合图像中目标与背景间的低对比度的问题,提出一种基于HSI空间颜色对比度增强的红外和可见光图像融合方法.首先对输入的可见光与红外图像进行直方图均衡和中值滤波加强处理,然后对加强的红外图像模糊阈值分割得到红外目标,最后把分割的红外目标图像和加强的可见光和红外图像在HSI空间的三通道线性融合和色彩传递,为了增强目标与背景间的颜色对比度,在色彩传递阶段, H通道的色彩传递方程中引入一个比例因子.实验结果表明：与其他算法相比,该方法得到的彩色融合图像热目标和低温物体与背景间的颜色对比度明显加强,同时背景的细节信息呈现白天类似的自然彩色,更加符合人眼视觉感知.

English Abstract

One color contrast enhanced infrared and visible image fusion method

1. School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;

2. Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense,Nanjing 210094,China

Received Date: 2014-08-12
Rev Recd Date: 2014-09-15
Publish Date: 2015-04-25

Keywords:

Abstract: Focus on color fusion for infrared and visible images with low contrast between target and background issues, a contrast enhancement method for infrared and visible image was presented based on HSI color space. Firstly, the contrast of infrared and visible images was enhanced using local histogram equalization and median filter, then the infrared target was extracted from the enhanced infrared image after fuzzy threshold segmentation. Finally, the two enhanced images and the segmentation infrared target were fused into the three components of a HSI image in terms of a simple linear fusion strategy and color transfer. To enhance the color contrast between the target and the background, a scaling factor was introduced into the transferring equation in the H channel during color transfer process. The experimental results show that, compared with other algorithms, the color fusion images of hot target and color contrast between low temperature object and background abtained by the presented method enhance obviously. At the same time, the details of visible images are endowed with natural color similar to that of the light color images during the day, which is more confortable to the human's visual perception.