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

Hyungjo Park; Dubok Park; David K. Han; Hanseok Ko

doi:10.1109/ICIP.2014.7025913

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

Hyungjo Park, Dubok Park, David K. Han, Hanseok Ko

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4502-4506
Number of pages	5
ISBN (Print)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025913
Publication status	Published - 2014 Jan 28

Keywords

Dehaze
image enhancement
local atmospheric light
media transmission
saturation evaluation metric

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/ICIP.2014.7025913

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Single image haze removal using novel estimation of atmospheric light and transmission. / Park, Hyungjo; Park, Dubok; Han, David K.; Ko, Hanseok.

2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 4502-4506 7025913.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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BT - 2014 IEEE International Conference on Image Processing, ICIP 2014

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

Abstract

Keywords

ASJC Scopus subject areas

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