Single image haze removal using novel estimation of atmospheric light and transmission

This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we us...

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Bibliographic Details
Published in2014 IEEE International Conference on Image Processing (ICIP) pp. 4502 - 4506
Main Authors Hyungjo Park, Dubok Park, Han, David K., Hanseok Ko
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Atmospheric modeling
Dehaze
Estimation
Image color analysis
image enhancement
Image restoration
Linear programming
local atmospheric light
Measurement
Media
media transmission
saturation evaluation metric
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Summary:This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2014.7025913