Method for spectral restoration of underwater images: theory and application

Yang Ping; Guo Yilu; Wei He; Song Dan; Song Hong; Zhang Yunfei; Shentu Yichun; Liu Hongbo; Huang Hui; Zhang Xiandou; Fang Meifen

doi:10.3788/IRLA201746.0323001

Underwater multispectral imaging is a promising technique for high-fidelity underwater color reproduction and mapping of kelp, sea grass, corals, etc. However, as light propagates through water, light is severely absorbed and scattered by water, causing image dim, hazy and distorted in its spectrum and color. In this paper, calibration of water attenuation coefficient based on underwater images and restoration of underwater multispectral images are discussed. Multispectral images of an underwater object are captured at different underwater distances. Technique has been proposed to calibrate the water attenuation coefficient based on underwater images of different distances and restore the raw images. Analysis was also conducted to search for the least number of distances for coefficient calibration and restoration. By comparing the restored underwater images with the images captured in air, its found that the technique proposed in this paper provides accurate restoration of underwater spectral images, with a relative residual error of 5.87% in average for all test images.

Method for spectral restoration of underwater images: theory and application

1. School of Digital Media &Design,Hangzhou Dianzi University,Hangzhou 310018,China;

2. Ocean College,Zhejiang University,Zhoushan 316021,China;

3. Blue Science Opto-Electronics Co. Ltd.,Hangzhou 310018,China

Received Date: 2016-07-05

Rev Recd Date: 2016-08-03

Publish Date: 2017-03-25

Key words:

multispectral imaging /
water attenuation coefficient calibration /
underwater image restoration

Abstract: Underwater multispectral imaging is a promising technique for high-fidelity underwater color reproduction and mapping of kelp, sea grass, corals, etc. However, as light propagates through water, light is severely absorbed and scattered by water, causing image dim, hazy and distorted in its spectrum and color. In this paper, calibration of water attenuation coefficient based on underwater images and restoration of underwater multispectral images are discussed. Multispectral images of an underwater object are captured at different underwater distances. Technique has been proposed to calibrate the water attenuation coefficient based on underwater images of different distances and restore the raw images. Analysis was also conducted to search for the least number of distances for coefficient calibration and restoration. By comparing the restored underwater images with the images captured in air, its found that the technique proposed in this paper provides accurate restoration of underwater spectral images, with a relative residual error of 5.87% in average for all test images.

HTML

Reference (15)

[1]	Johnsen G, Volent Z, Dierssen H, et al. 20-Underwater hyperspectral imagery to create biogeochemical maps of seafloor properties[J]. Journal of Engineering Physics and Thermophysics, 2010, 83(3):508-535.
[2]	Volent A Z, Johnsen G, Sigernes F. Kelp forest mapping by use of airborne hyperspectral imager[J]. Journal of Applied Remote Sensing, 2007, 1(1):6656-6659.
[3]	Dierssen H M, Zimmerman R C, Drake L A, et al. Benthic ecology from space:optics and net primary production in seagrass and benthic algae across the great bahama bank[J]. Marine Ecology Progress, 2010, 411(6):1-15.
[4]	Gleason A C R, Gracias N, Lirman D, et al. Landscape video mosaic from a mesophotic coral reef[J]. Coral Reefs, 2010, 29(2):253-253.
[5]	Aarrestad S M. Use of underwater hyperspectral imagery for geological characterization of the seabed[D]. Trondheim:NTNU, 2014.
[6]	Sakshaug E, Johnsen G H, Kovacs K M. Ecosystem Barents Sea[M]. Norway:Tapir Academic Pres, 2009.
[7]	Mumby P J, Clark C D, Green E P, et al. Benefits of water column correction and contextual editing for mapping coral reefs[J]. International Journal of Remote Sensing, 1998, 19(1):203-210.
[8]	Holden H, Ledrew E. Effects of the water column on hyperspectral reflectance of submerged coral reef features[J]. Bulletin of Marine Science -Miami-, 2001, 69(2):685-699.
[9]	Raymond C S, Karen S B. Optical properties of the clearest natural waters (200-800 nm)[J]. Applied Optics, 1981, 20(2):177-184.
[10]	Moore C, Barnard A, Fietzek P, et al. Optical tools for ocean monitoring and research[J]. Ocean Science, 2009, 5(5):661-684.
[11]	Gleason A C R, Reid R P, Voss K J. Automated classification of underwater multispectral imagery for coral reef monitoring[C]//OCEANS, IEEE, 2007:1-8.
[12]	Mishra D R, Narumalani S, Rundquist D, et al. Characterizing the vertical diffuse attenuation coefficient for downwelling irradiance in coastal waters:Implications for water penetration by high resolution satellite data[J]. Isprs Journal of Photogrammetry Remote Sensing, 2005, 60(1):48-64.
[13]	Guo Y, Song H, Liu H, et al. Model-based restoration of underwater spectral images captured with narrowband filters[J]. Optics Express, 2016, 24(12):13101.
[14]	Ahlen J. Colour correction of underwater images using spectral data[D]. Uppsala:Acta Universitatis Upsaliensis, 2005.
[15]	Munsell A H. A Color Notation[M]. Baltimore:Munsell Color Company Inc., 1905.

Method for spectral restoration of underwater images: theory and application

doi: 10.3788/IRLA201746.0323001

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views