Mixture contrast limited adaptive histogram equalization for underwater image enhancement

Within the last decades, improving the quality of an underwater image has received considerable attention due to poor visibility of the image which is caused by physical properties of the water medium. This paper presents a new method called mixture Contrast Limited Adaptive Histogram Equalization (...

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Bibliographic Details
Published in2013 International Conference on Computer Applications Technology (ICCAT) pp. 1 - 5
Main Authors Hitam, M. S., Yussof, Wan Nural Jawahir Hj Wan, Awalludin, Ezmahamrul Afreen, Bachok, Z.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2013
Subjects
Adaptive equalizers
Color
color models
Colored noise
contrast limited adaptive histogram equalization
Histograms
Image color analysis
PSNR
underwater image
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Summary:Within the last decades, improving the quality of an underwater image has received considerable attention due to poor visibility of the image which is caused by physical properties of the water medium. This paper presents a new method called mixture Contrast Limited Adaptive Histogram Equalization (CLAHE) color models that specifically developed for underwater image enhancement. The method operates CLAHE on RGB and HSV color models and both results are combined together using Euclidean norm. The underwater images used in this study were taken from Redang Island and Bidong Island in Terengganu, Malaysia. Experimental results show that the proposed approach significantly improves the visual quality of underwater images by enhancing contrast, as well as reducing noise and artifacts.
ISBN:9781467352840
1467352845
DOI:10.1109/ICCAT.2013.6522017