Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction

In order to improve the detail visibility and target contrast of fused images, an infrared and visible image fusion method based on image enhancement and target extraction is proposed. The proposed method is divided into three parts, including enhancement stage, target extraction stage, and fusion stage. In the enhancement stage, to efficiently decompose the visible images, a decomposition method based on improved guided filter is proposed by using the deep feature as the guided image. Based on the characteristics of low and high frequency layers, brightness correction function and detail adjustment function are designed to improve the global and local contrast, respectively. In target extraction, morphological operation and background subtraction are introduced to achieve coarse target extraction efficiently. The feature distribution of redundant background is optimized to obtain more accurate infrared targets. In the fusion stage, the infrared target is injected into the enhanced visible image by compression ratio. A fused image with clear local details and high contrast thermal target is obtained while the exposure is suppressed. In order to prove the effectiveness of the proposed method, experiments are performed on different datasets. Moreover, the proposed method is compared with several mainstream methods based on six evaluation metrics. The results show that the fusion effect of the proposed method is better as compared to other methods.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3557799
Citations
2
Primary Topic
Advanced Image Fusion Techniques
Type
article
Field-Weighted Citation Impact
2.27
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article

Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction

Wenying Zhang, Haoran Zhu
2 citations
IEEE Access
Advanced Image Fusion Techniques
2.27
article

Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction

Wenying Zhang, Haoran Zhu
article en
2 citations

Abstract

In order to improve the detail visibility and target contrast of fused images, an infrared and visible image fusion method based on image enhancement and target extraction is proposed. The proposed method is divided into three parts, including enhancement stage, target extraction stage, and fusion stage. In the enhancement stage, to efficiently decompose the visible images, a decomposition method based on improved guided filter is proposed by using the deep feature as the guided image. Based on the characteristics of low and high frequency layers, brightness correction function and detail adjustment function are designed to improve the global and local contrast, respectively. In target extraction, morphological operation and background subtraction are introduced to achieve coarse target extraction efficiently. The feature distribution of redundant background is optimized to obtain more accurate infrared targets. In the fusion stage, the infrared target is injected into the enhanced visible image by compression ratio. A fused image with clear local details and high contrast thermal target is obtained while the exposure is suppressed. In order to prove the effectiveness of the proposed method, experiments are performed on different datasets. Moreover, the proposed method is compared with several mainstream methods based on six evaluation metrics. The results show that the fusion effect of the proposed method is better as compared to other methods.

IEEE AccessVol. 13
Changchun University of Science and Technology (CN), Jilin Engineering Normal University (CN)
Openalex Percentile: Top 12%
Advanced Image Fusion Techniques
2.27
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Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction — Wenying Zhang, Haoran Zhu · IEEE Access (2025) | TGRS Research Map | TGRS