DocumentCode :
2928468
Title :
Underwater image adaptive restoration and analysis by turbulence model
Author :
Yang Miao
Author_Institution :
Dept. of Electron. Eng., HuaiHai Inst. of Technol., Lianyungang, China
fYear :
2012
fDate :
Oct. 30 2012-Nov. 2 2012
Firstpage :
1182
Lastpage :
1187
Abstract :
For the underwater degenerative image, atmospheric turbulence model is utilized to construct the restoration model. By computing the underwater image quality function which is used to estimate the adaptive degradation model parameter, underwater image is restored through Wiener filters. The connection between camera-altitude and model parameter in typical water is analyzed as well. The experiments show that the proposed method has a better improvement on contrast and definition of underwater image than other common preprocessing methods and is especially suitable for further degradation model analysis and objective detection.
Keywords :
Wiener filters; atmospheric turbulence; cameras; geophysics computing; image restoration; object detection; oceanographic techniques; parameter estimation; Wiener filters; adaptive degradation model parameter estimation; atmospheric turbulence model; camera-altitude; degradation model analysis; objective detection; restoration model; underwater degenerative image; underwater image adaptive analysis; underwater image adaptive restoration; underwater image quality function; Adaptation models; Atmospheric modeling; Cameras; Degradation; Image restoration; Optical filters; Optical imaging; Degradation function; Image restoration; Parameter fitting; Turbulence model; Underwater image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (WICT), 2012 World Congress on
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4673-4806-5
Type :
conf
DOI :
10.1109/WICT.2012.6409254
Filename :
6409254
Link To Document :
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