Inshore eutrophic underwater image enhancement based on light-particles interaction descattering
- Resource Type
- Conference
- Authors
- Yang, Miao; Sowmya, Arcot; Wei, Zhi-Qiang; Zheng, Bing
- Source
- OCEANS 2017 - Aberdeen. :1-5 Jun, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Optical imaging
Absorption
Optical attenuators
Optical scattering
Optical variables measurement
Estimation
underwater imaging
underwater image restoration
inshore area
underwater optical model
- Language
Field optical measurement results show that a classification study of inshore water is necessary. Typical dehazing methods rely on a dark channel model using global rough estimates of back-scattering, that performs poorly on inshore underwater image restoration. This paper introduces a restoration approach to the problem that focuses on inshore water body optical properties. The method introduces transmission map estimation by applying lighting-reflection decomposition rather than replacing the back-scattering with the theoretical maximum. A statistical prior of inshore water body attenuation coefficients is also included in the transmission map estimation. Besides, we propose a novel backscatter lighting estimation method based on the phenomenon of interaction of light rays with particles in the medium. A detailed qualitative analysis against existing techniques is also performed which shows that the proposed method outperforms the state-of-art on inshore underwater data, especially on sharpness and total colour metrics.