An investigation of various dehazing algorithms used on thermal infrared imagery for maritime surveillance systems

Abdulla Al Mansoori; Issacniwas Swamidoss; Abdulrahman Almarzooqi; Slim Sayadi

doi:10.1117/12.2599684

12 September 2021 An investigation of various dehazing algorithms used on thermal infrared imagery for maritime surveillance systems

Abdulla Al Mansoori, Issacniwas Swamidoss, Abdulrahman Almarzooqi, Slim Sayadi

Author Affiliations +

Proceedings Volume 11865, Target and Background Signatures VII; 118650M (2021) https://doi.org/10.1117/12.2599684
Event: SPIE Security + Defence, 2021, Online Only

Abstract

Maritime surveillance systems’ long-range capabilities are dependent on the quality of their images. Poor weather conditions such as haze, fog, or smog can severely hamper the ability to observe a thermal imaging scenario accurately, which affects the ability to detect, identify and track any object of interest within it. An image processing technique, known as dehazing is required in these types of systems. In this paper, state of the art image dehazing algorithms are used for long range thermal images (~5km, ~9km, ~15km) and their image restoration quality performances are compared based on qualitative metrics such as structural similarity (SSIM), peak signal to noise ratio (PSNR), and Feature similarity (FSIM). The results from this benchmark study can provide a suitable dehazing technique for maritime surveillance systems.

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Citation Download Citation

Abdulla Al Mansoori, Issacniwas Swamidoss, Abdulrahman Almarzooqi, and Slim Sayadi "An investigation of various dehazing algorithms used on thermal infrared imagery for maritime surveillance systems", Proc. SPIE 11865, Target and Background Signatures VII, 118650M (12 September 2021); https://doi.org/10.1117/12.2599684

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