DocumentCode :
249406
Title :
A retinex-based enhancing approach for single underwater image
Author :
Xueyang Fu ; Peixian Zhuang ; Yue Huang ; Yinghao Liao ; Xiao-Ping Zhang ; Xinghao Ding
Author_Institution :
Dept. of Commun. Eng., Xiamen Univ., Xiamen, China
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
4572
Lastpage :
4576
Abstract :
Since the light is absorbed and scattered while traveling in water, color distortion, under-exposure and fuzz are three major problems of underwater imaging. In this paper, a novel retinex-based enhancing approach is proposed to enhance single underwater image. The proposed approach has mainly three steps to solve the problems mentioned above. First, a simple but effective color correction strategy is adopted to address the color distortion. Second, a variational framework for retinex is proposed to decompose the reflectance and the illumination, which represent the detail and brightness respectively, from single underwater image. An effective alternating direction optimization strategy is adopted to solve the proposed model. Third, the reflectance and the illumination are enhanced by different strategies to address the under-exposure and fuzz problem. The final enhanced image is obtained by combining use the enhanced reflectance and illumination. The enhanced result is improved by color correction, lightens dark regions, naturalness preservation, and well enhanced edges and details. Moreover, the proposed approach is a general method that can enhance other kinds of degraded image, such as sandstorm image.
Keywords :
geophysical image processing; image colour analysis; image enhancement; image representation; oceanographic techniques; optimisation; variational techniques; alternating direction optimization strategy; brightness representation; color correction strategy; color distortion problem; detail representation; edge enhancement; fuzz problem; illumination decomposition; naturalness preservation; reflectance decomposition; retinex-based enhancing approach; single underwater image enhancement; under-exposure problem; variational framework; Green products; Histograms; Image color analysis; Image restoration; Imaging; Lighting; Optimization; Underwater image; alternating direction optimization; image enhancement; retinex; variational framework;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025927
Filename :
7025927
Link To Document :
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