Paper
27 March 2022 Underwater image enhancement using the revised haze-lines method
Liheng Ma, Yinglei Li, Mingjie Zheng
Author Affiliations +
Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 1216951 (2022) https://doi.org/10.1117/12.2624280
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
Visible light is servely absorbed and scattered by the water when it is propagated underwater. The attenuiation coefficient, including the absorbtion and scattering, is related to the light wavelength closely. As a result, underwater image suffers from low contrast, low visibility and color distortion, leading to the difficulty increasement of visible light detection for underwater objects. In order to improve the quality of the underwater image, a revised veiling light estimation and image recovery approach is proposed based on the haze-lines method. Image region is splited into strikes to find the haze-lines. The consumption of veiling light estimation is reduced. Underwater image recovery results show that image with different color objects is enhanced obviously with the revised hazelines method. Except for the improvement of contrast and visibility, color fidelity is corrected as well, which is benefit for object detection.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liheng Ma, Yinglei Li, and Mingjie Zheng "Underwater image enhancement using the revised haze-lines method", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 1216951 (27 March 2022); https://doi.org/10.1117/12.2624280
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image restoration

RGB color model

Image enhancement

Image sensors

Signal attenuation

Image analysis

Visibility

RELATED CONTENT

Haze removal from a single image
Proceedings of SPIE (October 26 2013)
Thermal and night vision image visibility and enhancement
Proceedings of SPIE (April 21 2020)
Single image enhancement using dual boundaries
Proceedings of SPIE (November 07 2018)

Back to Top