Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination
Infrared image enhancement technology can effectively improve the image quality and enhance the saliency of the target and is a critical component in the marine target search and tracking system. However, the imaging quality of maritime infrared images is easily affected by weather and sea condition...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-08-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/15/5873 |
| _version_ | 1797432624419962880 |
|---|---|
| author | Yingqi Jiang Lili Dong Junke Liang |
| author_facet | Yingqi Jiang Lili Dong Junke Liang |
| author_sort | Yingqi Jiang |
| collection | DOAJ |
| description | Infrared image enhancement technology can effectively improve the image quality and enhance the saliency of the target and is a critical component in the marine target search and tracking system. However, the imaging quality of maritime infrared images is easily affected by weather and sea conditions and has low contrast defects and weak target contour information. At the same time, the target is disturbed by different intensities of sea clutter, so the characteristics of the target are also different, which cannot be processed by a single algorithm. Aiming at these problems, the relationship between the directional texture features of the target and the roughness of the sea surface is deeply analyzed. According to the texture roughness of the waves, the image scene is adaptively divided into calm sea surface and rough sea surface. At the same time, through the Gabor filter at a specific frequency and the gradient-based target feature extraction operator proposed in this paper, the clutter suppression and feature fusion strategies are set, and the target feature image of multi-scale fusion in two types of scenes are obtained, which is used as a guide image for guided filtering. The original image is decomposed into a target and a background layer to extract the target features and avoid image distortion. The blurred background around the target contour is extracted by Gaussian filtering based on the potential target region, and the edge blur caused by the heat conduction of the target is eliminated. Finally, an enhanced image is obtained by fusing the target and background layers with appropriate weights. The experimental results show that, compared with the current image enhancement method, the method proposed in this paper can improve the clarity and contrast of images, enhance the detectability of targets in distress, remove sea surface clutter while retaining the natural environment features in the background, and provide more information for target detection and continuous tracking in maritime search and rescue. |
| first_indexed | 2024-03-09T10:04:19Z |
| format | Article |
| id | doaj.art-4712b7b480004beeb2113d241241996f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T10:04:19Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4712b7b480004beeb2113d241241996f2023-12-01T23:10:50ZengMDPI AGSensors1424-82202022-08-012215587310.3390/s22155873Image Enhancement of Maritime Infrared Targets Based on Scene DiscriminationYingqi Jiang0Lili Dong1Junke Liang2School of Information Science & Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science & Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information Science & Technology, Dalian Maritime University, Dalian 116026, ChinaInfrared image enhancement technology can effectively improve the image quality and enhance the saliency of the target and is a critical component in the marine target search and tracking system. However, the imaging quality of maritime infrared images is easily affected by weather and sea conditions and has low contrast defects and weak target contour information. At the same time, the target is disturbed by different intensities of sea clutter, so the characteristics of the target are also different, which cannot be processed by a single algorithm. Aiming at these problems, the relationship between the directional texture features of the target and the roughness of the sea surface is deeply analyzed. According to the texture roughness of the waves, the image scene is adaptively divided into calm sea surface and rough sea surface. At the same time, through the Gabor filter at a specific frequency and the gradient-based target feature extraction operator proposed in this paper, the clutter suppression and feature fusion strategies are set, and the target feature image of multi-scale fusion in two types of scenes are obtained, which is used as a guide image for guided filtering. The original image is decomposed into a target and a background layer to extract the target features and avoid image distortion. The blurred background around the target contour is extracted by Gaussian filtering based on the potential target region, and the edge blur caused by the heat conduction of the target is eliminated. Finally, an enhanced image is obtained by fusing the target and background layers with appropriate weights. The experimental results show that, compared with the current image enhancement method, the method proposed in this paper can improve the clarity and contrast of images, enhance the detectability of targets in distress, remove sea surface clutter while retaining the natural environment features in the background, and provide more information for target detection and continuous tracking in maritime search and rescue.https://www.mdpi.com/1424-8220/22/15/5873maritime infrared image enhancementtarget enhancementimage layeringguided filteringtexture feature |
| spellingShingle | Yingqi Jiang Lili Dong Junke Liang Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination Sensors maritime infrared image enhancement target enhancement image layering guided filtering texture feature |
| title | Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination |
| title_full | Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination |
| title_fullStr | Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination |
| title_full_unstemmed | Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination |
| title_short | Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination |
| title_sort | image enhancement of maritime infrared targets based on scene discrimination |
| topic | maritime infrared image enhancement target enhancement image layering guided filtering texture feature |
| url | https://www.mdpi.com/1424-8220/22/15/5873 |
| work_keys_str_mv | AT yingqijiang imageenhancementofmaritimeinfraredtargetsbasedonscenediscrimination AT lilidong imageenhancementofmaritimeinfraredtargetsbasedonscenediscrimination AT junkeliang imageenhancementofmaritimeinfraredtargetsbasedonscenediscrimination |