A Revised Underwater Image Formation Model

被引:300
作者
Akkaynak, Derya [1 ]
Treibitz, Tali [1 ]
机构
[1] Univ Haifa, Haifa, Israel
来源
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2018年
关键词
INHERENT OPTICAL-PROPERTIES; ENHANCEMENT; VISION; DESIGN; COLOR;
D O I
10.1109/CVPR.2018.00703
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The current underwater image formation model descends from atmospheric dehazing equations where attenuation is a weak function of wavelength. We recently showed that this model introduces significant errors and dependencies in the estimation of the direct transmission signal because underwater, light attenuates in a wavelengthdependent manner. Here, we show that the backscattered signal derived from the current model also suffers from dependencies that were previously unaccounted for. In doing so, we use oceanographic measurements to derive the physically valid space of backscatter, and further show that the wideband coefficients that govern backscatter are different than those that govern direct transmission, even though the current model treats them to be the same. We propose a revised equation for underwater image formation that takes these differences into account, and validate it through in situ experiments underwater. This revised model might explain frequent instabilities of current underwater color reconstruction models, and calls for the development of new methods.
引用
收藏
页码:6723 / 6732
页数:10
相关论文
共 41 条
[1]   Use of commercial off-the-shelf digital cameras for scientific data acquisition and scene-specific color calibration [J].
Akkaynak, Derya ;
Treibitz, Tali ;
Xiao, Bei ;
Guerkan, Umut A. ;
Allen, Justine J. ;
Demirci, Utkan ;
Hanlon, Roger T. .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2014, 31 (02) :312-321
[2]  
[Anonymous], J FIELD ROBOTICS
[3]  
[Anonymous], 2016, P IEEE CVPR
[4]  
[Anonymous], P IEEE CVPR
[5]  
[Anonymous], 1986, SALINE LAKE ECOSYSTE
[6]  
[Anonymous], 1994, Light and Water: Radiative Transfer in Natural Waters
[7]  
[Anonymous], P IEEE CVPR
[8]  
Bahat Y., 2016, P IEEE ICCP
[9]  
Berman D., 2017, PROC BRIT MACH VIS C
[10]  
Blasinski H., 2015, IMAGING SYSTEMS APPL