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 s...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10949209/ |
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| author | Haoran Zhu Wenying Zhang |
| author_facet | Haoran Zhu Wenying Zhang |
| author_sort | Haoran Zhu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bd7ae4d42f5c4ae680a43795a6779879 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-bd7ae4d42f5c4ae680a43795a67798792025-08-20T02:12:24ZengIEEEIEEE Access2169-35362025-01-0113618626187510.1109/ACCESS.2025.355779910949209Infrared and Visible Image Fusion Based on Image Enhancement and Target ExtractionHaoran Zhu0Wenying Zhang1https://orcid.org/0009-0000-0411-525XSchool of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, ChinaJilin Engineering Laboratory for Quantum Information Technology, Jilin Engineering Normal University, Changchun, ChinaIn 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.https://ieeexplore.ieee.org/document/10949209/Image fusionimage enhancementtarget extractionbackground subtraction |
| spellingShingle | Haoran Zhu Wenying Zhang Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction IEEE Access Image fusion image enhancement target extraction background subtraction |
| title | Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction |
| title_full | Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction |
| title_fullStr | Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction |
| title_full_unstemmed | Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction |
| title_short | Infrared and Visible Image Fusion Based on Image Enhancement and Target Extraction |
| title_sort | infrared and visible image fusion based on image enhancement and target extraction |
| topic | Image fusion image enhancement target extraction background subtraction |
| url | https://ieeexplore.ieee.org/document/10949209/ |
| work_keys_str_mv | AT haoranzhu infraredandvisibleimagefusionbasedonimageenhancementandtargetextraction AT wenyingzhang infraredandvisibleimagefusionbasedonimageenhancementandtargetextraction |