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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...

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Detalles Bibliográficos
Autores principales: Jiang, Yingqi, Dong, Lili, Liang, Junke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371148/
https://www.ncbi.nlm.nih.gov/pubmed/35957429
http://dx.doi.org/10.3390/s22155873
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author Jiang, Yingqi
Dong, Lili
Liang, Junke
author_facet Jiang, Yingqi
Dong, Lili
Liang, Junke
author_sort Jiang, Yingqi
collection PubMed
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.
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spelling pubmed-93711482022-08-12 Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination Jiang, Yingqi Dong, Lili Liang, Junke Sensors (Basel) Article 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. MDPI 2022-08-05 /pmc/articles/PMC9371148/ /pubmed/35957429 http://dx.doi.org/10.3390/s22155873 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Yingqi
Dong, Lili
Liang, Junke
Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371148/
https://www.ncbi.nlm.nih.gov/pubmed/35957429
http://dx.doi.org/10.3390/s22155873
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AT donglili imageenhancementofmaritimeinfraredtargetsbasedonscenediscrimination
AT liangjunke imageenhancementofmaritimeinfraredtargetsbasedonscenediscrimination