DocumentCode
1798822
Title
Underwater scene enhancement using weighted guided median filter
Author
Huimin Lu ; Serikawa, Seiichi
Author_Institution
Dept. of Electr. & Electron. Eng., Kyushu Inst. of Technol., Fukuoka, Japan
fYear
2014
fDate
14-18 July 2014
Firstpage
1
Lastpage
6
Abstract
We present a novel method of enhancing shallow ocean optical images or videos using weighted guided median filter and wavelength properties. Absorption, scattering and color distortion are three major distortion issues for underwater optical imaging. Light rays traveling through water are scattered and absorbed depending on the wavelength. Scattering is caused by large suspended particles, as in turbid water that contains abundant particles, which causes the degradation of the image. Color distortion occurs because different wavelengths are attenuated to different degrees in water, causing ambient underwater environments to be dominated by a bluish tone. Our key contributions are proposed include a novel shallow water imaging model that compensates for the attenuation discrepancy along the propagation path and an effective underwater scene enhancement scheme. The recovered images are characterized by a reduced noised level, better exposure of the dark regions, and improved global contrast where the finest details and edges are enhanced significantly.
Keywords
image colour analysis; image enhancement; image reconstruction; light absorption; light scattering; median filters; optical images; underwater optics; video signal processing; absorption; color distortion; image degradation; light rays; noise level reduction; ocean video enhancement; scattering; shallow ocean optical images; shallow water imaging model; turbid water; underwater optical imaging; underwater scene enhancement; underwater scene enhancement scheme; weighted guided median filter; Cameras; Image color analysis; Oceans; Optical distortion; Optical filters; Optical imaging; Image Enhancement; Underwater imaging; Wavelength; Weighted guided median filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo (ICME), 2014 IEEE International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/ICME.2014.6890157
Filename
6890157
Link To Document