Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds
Infrared small-target enhancement in complex contexts is one of the key technologies for infrared search and tracking systems. The effect of enhancement directly determines the reliability of the monitoring equipment. To address the problem of the low signal-to-noise ratio of small infrared moving t...
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| Format: | Article |
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MDPI AG
2023-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/13/6215 |
| _version_ | 1827734463415582720 |
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| author | Yingchao Li Lianji Ma Shuai Yang Qiang Fu Hongyu Sun Chao Wang |
| author_facet | Yingchao Li Lianji Ma Shuai Yang Qiang Fu Hongyu Sun Chao Wang |
| author_sort | Yingchao Li |
| collection | DOAJ |
| description | Infrared small-target enhancement in complex contexts is one of the key technologies for infrared search and tracking systems. The effect of enhancement directly determines the reliability of the monitoring equipment. To address the problem of the low signal-to-noise ratio of small infrared moving targets in complex backgrounds and the poor effect of traditional enhancement algorithms, an accurate enhancement method for small infrared moving targets based on two-channel information is proposed. For a single frame, a modified curvature filter is used in the A channel to weaken the background while an improved PM model is used to enhance the target, and a modified band-pass filter is used in the B channel for coarse enhancement followed by a local contrast algorithm for fine enhancement, based on which a weighted superposition algorithm is used to extract a single-frame candidate target. The results of the experimental data analysis prove that the method has a good enhancement effect and robustness for small IR motion target enhancement in complex backgrounds, and it outperforms other advanced algorithms by about 43.7% in ROC. |
| first_indexed | 2024-03-11T01:28:24Z |
| format | Article |
| id | doaj.art-7dba976a11174164a8ff3cafce0ffe6d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T01:28:24Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7dba976a11174164a8ff3cafce0ffe6d2023-11-18T17:32:15ZengMDPI AGSensors1424-82202023-07-012313621510.3390/s23136215Infrared Image-Enhancement Algorithm for Weak Targets in Complex BackgroundsYingchao Li0Lianji Ma1Shuai Yang2Qiang Fu3Hongyu Sun4Chao Wang5National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, ChinaNational and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, ChinaNational and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, ChinaNational and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, ChinaNational and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, ChinaNational and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, ChinaInfrared small-target enhancement in complex contexts is one of the key technologies for infrared search and tracking systems. The effect of enhancement directly determines the reliability of the monitoring equipment. To address the problem of the low signal-to-noise ratio of small infrared moving targets in complex backgrounds and the poor effect of traditional enhancement algorithms, an accurate enhancement method for small infrared moving targets based on two-channel information is proposed. For a single frame, a modified curvature filter is used in the A channel to weaken the background while an improved PM model is used to enhance the target, and a modified band-pass filter is used in the B channel for coarse enhancement followed by a local contrast algorithm for fine enhancement, based on which a weighted superposition algorithm is used to extract a single-frame candidate target. The results of the experimental data analysis prove that the method has a good enhancement effect and robustness for small IR motion target enhancement in complex backgrounds, and it outperforms other advanced algorithms by about 43.7% in ROC.https://www.mdpi.com/1424-8220/23/13/6215background suppressiondetectionfilteringinfraredsmall target enhancements |
| spellingShingle | Yingchao Li Lianji Ma Shuai Yang Qiang Fu Hongyu Sun Chao Wang Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds Sensors background suppression detection filtering infrared small target enhancements |
| title | Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds |
| title_full | Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds |
| title_fullStr | Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds |
| title_full_unstemmed | Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds |
| title_short | Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds |
| title_sort | infrared image enhancement algorithm for weak targets in complex backgrounds |
| topic | background suppression detection filtering infrared small target enhancements |
| url | https://www.mdpi.com/1424-8220/23/13/6215 |
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