A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology
Recently, edge-preserving filters have achieved great success in infrared (IR) and visible (VI) image fusion field. However, most edge-preserving filters are complex. In this paper, with the side window filtering technology by which most filters can improve their edge-preserving capabilities, we pro...
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doaj-4e60360d3d1846fd864df68b9e6a5b292021-03-30T01:12:00ZengIEEEIEEE Access2169-35362020-01-0183029304110.1109/ACCESS.2019.29616268939390A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering TechnologyHuibin Yan0https://orcid.org/0000-0001-8537-3532Zhongmin Li1https://orcid.org/0000-0003-0530-3484School of Information Engineering, Nanchang Hangkong University, Nanchang, ChinaSchool of Information Engineering, Nanchang Hangkong University, Nanchang, ChinaRecently, edge-preserving filters have achieved great success in infrared (IR) and visible (VI) image fusion field. However, most edge-preserving filters are complex. In this paper, with the side window filtering technology by which most filters can improve their edge-preserving capabilities, we propose a general perceptual IR and VI image fusion framework with simple linear filter. Firstly, the source images are decomposed into edge feature components, hybrid components and base components by using linear filter and its side window version. Then, these components are combined by max-absolute fusion rule and improved max-absolute fusion rule. Finally, the fused image is reconstructed by adding all the fused components. In our experiments, two popular linear filters, i.e., box filter and Gaussian filter, are used to verify the effectiveness of the proposed framework. Experimental results show that the proposed fusion framework can obtain better perceptual fusion results than compared methods.https://ieeexplore.ieee.org/document/8939390/Image fusionside window filteringlinear filterinfrared imagesvisible images |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Huibin Yan Zhongmin Li |
spellingShingle |
Huibin Yan Zhongmin Li A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology IEEE Access Image fusion side window filtering linear filter infrared images visible images |
author_facet |
Huibin Yan Zhongmin Li |
author_sort |
Huibin Yan |
title |
A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology |
title_short |
A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology |
title_full |
A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology |
title_fullStr |
A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology |
title_full_unstemmed |
A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology |
title_sort |
general perceptual infrared and visible image fusion framework based on linear filter and side window filtering technology |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Recently, edge-preserving filters have achieved great success in infrared (IR) and visible (VI) image fusion field. However, most edge-preserving filters are complex. In this paper, with the side window filtering technology by which most filters can improve their edge-preserving capabilities, we propose a general perceptual IR and VI image fusion framework with simple linear filter. Firstly, the source images are decomposed into edge feature components, hybrid components and base components by using linear filter and its side window version. Then, these components are combined by max-absolute fusion rule and improved max-absolute fusion rule. Finally, the fused image is reconstructed by adding all the fused components. In our experiments, two popular linear filters, i.e., box filter and Gaussian filter, are used to verify the effectiveness of the proposed framework. Experimental results show that the proposed fusion framework can obtain better perceptual fusion results than compared methods. |
topic |
Image fusion side window filtering linear filter infrared images visible images |
url |
https://ieeexplore.ieee.org/document/8939390/ |
work_keys_str_mv |
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