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Article

Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination

School of Information Science & Technology, Dalian Maritime University, Dalian 116026, China
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Author to whom correspondence should be addressed.
Academic Editor: Gwanggil Jeon
Sensors 2022, 22(15), 5873; https://doi.org/10.3390/s22155873
Received: 13 July 2022 / Revised: 1 August 2022 / Accepted: 3 August 2022 / Published: 5 August 2022
(This article belongs to the Collection Remote Sensing Image Processing)
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. View Full-Text
Keywords: maritime infrared image enhancement; target enhancement; image layering; guided filtering; texture feature maritime infrared image enhancement; target enhancement; image layering; guided filtering; texture feature
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MDPI and ACS Style

Jiang, Y.; Dong, L.; Liang, J. Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination. Sensors 2022, 22, 5873. https://doi.org/10.3390/s22155873

AMA Style

Jiang Y, Dong L, Liang J. Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination. Sensors. 2022; 22(15):5873. https://doi.org/10.3390/s22155873

Chicago/Turabian Style

Jiang, Yingqi, Lili Dong, and Junke Liang. 2022. "Image Enhancement of Maritime Infrared Targets Based on Scene Discrimination" Sensors 22, no. 15: 5873. https://doi.org/10.3390/s22155873

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