Difference between Underwater Imaging with Illumination Sources with Different Colors
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摘要: 针对低照度、浑浊水质环境中水下成像系统观测能力受限的问题, 从辅助照明光源的角度, 设计了水池实验方案, 分析不同浑浊程度的水质条件下光源光谱特性对水介质散射特性的影响。实测数据分析表明, 不同颜色的辅助光照明下, 水体的散射系数存在差异, 低浓度的水体对蓝光的散射系数较大, 蓝光照明的成像效果并不理想, 而随着浓度增加, 红光的散射系数逐渐接近甚至大于蓝光。研究结果不仅有助于优化水下成像系统中照明光源的参数设置, 而且能够为去散射方法的应用, 以及获取高质量的水下观测视频提供强有力的技术理论支撑。Abstract: Since the observation ability of underwater imaging systems is limited in the environment of low illumination and turbid water, the experimental scheme of the pool was designed from the perspective of an auxiliary illumination source. The influence of spectral characteristics of illumination source on scattering characteristics of water medium under different turbidity conditions was analyzed. The analysis of measured data shows that the scattering coefficients of water bodies are different under the auxiliary illumination sources with different colors. The scattering coefficient of blue light is larger in water with low concentration, and the imaging with blue light is not ideal. The scattering coefficient of red light is larger than that of blue light with increasing concentration. The research results not only help to optimize the parameters of illumination sources in underwater imaging systems but also provide strong technical and theoretical support for applying de-scattering methods and obtaining high-quality underwater observation videos.
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表 1 不同颜色光源照明条件下散射系数测试结果
Table 1. Test results of scattering coefficient under illu- mination sources with different colors
颗粒物浓度/(g/m3) 红光 绿光 蓝光 无光 白光 0.000 0 0.018 6 0.034 8 0.048 6 0.003 0 0.032 5 2.116 1 0.026 9 0.039 0 0.054 3 0.010 2 0.037 5 3.526 8 0.045 4 0.038 4 0.060 8 0.027 7 0.043 0 4.232 2 0.054 3 0.056 9 0.082 6 0.039 0 0.057 6 4.937 5 0.063 1 0.056 7 0.086 9 0.046 8 0.062 7 5.642 9 0.071 5 0.065 8 0.091 7 0.055 6 0.071 1 6.348 2 0.089 8 0.072 2 0.098 1 0.061 1 0.075 7 7.053 6 0.108 8 0.088 3 0.113 3 0.067 0 0.095 6 7.758 9 0.123 5 0.101 4 0.132 7 0.070 6 0.111 4 8.464 3 0.142 9 0.113 6 0.136 5 0.073 6 0.124 0 9.169 7 0.151 8 0.125 6 0.164 8 0.076 1 0.137 5 9.875 0 0.168 9 0.137 4 0.174 6 0.078 3 0.154 8 10.580 4 0.175 7 0.143 1 0.180 5 0.081 0 0.164 5 11.285 7 0.187 2 0.152 3 0.179 7 0.083 4 0.170 5 -
[1] 琳恩·塔利, 佐治·皮卡德, 威廉·埃梅里, 等. 物理海洋学[M]. 6版, 广州: 中山大学出版社, 2019. [2] 苏纪兰, 袁业立. 中国近海水文[M]. 北京: 海军出版社, 2005. [3] 杨申申, 王瑶, 王璇, 等. 照明技术在潜水器中的应用[J]. 灯与照明, 2016, 40(1): 33-36. doi: 10.3969/j.issn.1008-5521.2016.01.008Yang Shenshen, Wang Yao, Wang Xuan, et al. Application of underwater lighting for submersible[J]. Light & Lighting, 2016, 40(1): 33-36. doi: 10.3969/j.issn.1008-5521.2016.01.008 [4] 朱彩霞, 何俊华. 水下自适应照明系统的设计[J]. 微计算机信息, 2008, 24(11): 279-289.Zhu Caixia, He Junhua. design of underwater self-adaptive illumination[J]. Microcomputer Information, 2008, 24(11): 279-289. [5] 牛雅昕, 于丽霞, 刘吉, 等. 水下高瞬态目标成像同步补光系统设计[J]. 国外电子测量技术, 2021, 40(8): 129-133. doi: 10.19652/j.cnki.femt.2102758Niu Yaxin, Yu Lixia, Liu Ji, et al. Design of synchronous supplementary light system for underwater high transient target imaging[J]. Foreign Electronic Measurement Technology, 2021, 40(8): 129-133. doi: 10.19652/j.cnki.femt.2102758 [6] 张利, 孙传东, 何俊华. 光源角度配置对水下成像图像质量影响[J]. 应用光学, 2000, 31(4): 579-583.Zhang Li, Sun Chuandong, He Junhua. Impact of light source angle on imaging quality of underwater imaging system[J]. Journal of Applied Optics, 2000, 31(4): 579-583. [7] Raimondo S, Silvia C. Underwater image processing: State of the art of restoration and image enhancement methods[J]. EURASIP Journal on Advances in Signal Processing, 2010(3): 746052. [8] 孙传东, 陈良益, 高立民. 水的光学特性及其对水下成像的影响[J]. 应用光学, 2000, 21(4): 39-46.Sun Chuandong, Chen Liangyi, Gao Limin. Water optical properties and their effect on underwater imaging[J]. Journal of Applied Optics, 2000, 21(4): 39-46. [9] 徐启阳, 杨坤涛, 王新兵, 等. 蓝绿激光雷达海洋探测[M]. 北京: 国防工业出版社, 2002. [10] Smith R C, Baker K S. Optical properties of the clearest natural waters(200-800 nm)[J]. Applied Optics, 1981, 20(2): 177-184. doi: 10.1364/AO.20.000177 [11] 马原. 一种基于光线散射模型的水下图像增强方法[J]. 现代电子技术, 2011, 34(16): 166-168.Ma Yuan. Underwater image enhancement method based on light scattering model[J]. Modern Electronics Technique, 2011, 34(16): 166-168. [12] Mie G. Beiträge zur optik trüber medien, speziell kolloidaler metallösungen[J]. Annalen der Physik, 1908, 330(3): 377-445. doi: 10.1002/andp.19083300302 [13] Bohren C F, Huffman D R. Absorption and scattering of light by small particles[M]. New York: Wiley Press, 1998. [14] Dubreuil M, Delrot P, Leonard I, et al. Exploring underwater target detection by imaging polarimetry and correlation techniques[J]. Applied Optics, 2013, 52(5): 997-1005. doi: 10.1364/AO.52.000997 [15] McGlamery B L. A computer model for underwater camera systems[C]//Ocean Optics VI. [S.l.]: SPIE, 1980: 221-231. [16] Jaffe J S. Computer modeling and the design of optimal underwater imaging systems[J]. IEEE Journal of Oceanic Engineering, 1990, 15(2): 101-111. doi: 10.1109/48.50695 [17] Voss K. Simple empirical model of the oceanic point spread function[J]. Applied Optics, 1991, 30: 2647-2651. doi: 10.1364/AO.30.002647 [18] Schechner Y Y, Karpel N. Clear underwater vision[C]// IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC, USA: IEEE, 2004: 536-543. [19] Agaian S S, Panetta K, Grigoryan M. Transform-based image enhancement algorithms with performance measure[J]. IEEE Transactions on Image Processing, 2001, 10(3): 367-382. doi: 10.1109/83.908502