NDLI: An improved fog-degraded image enhancement algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yi-Shu Zhai Xiao-Ming Liu
Copyright Year	2007
Description	Author affiliation: Dalian Maritime Univ., Dalian (Yi-Shu Zhai; Xiao-Ming Liu)
Abstract	In fog weather, Images captured by outdoor surveillance system degrade significantly and suffer from poor contrast. This paper presents an improved algorithm for enhancing fog-degraded image contrast in which a moving mask is used. By assuming the pixels in a mask having same scene depth, the algorithm applies the modified partially overlapped sub-block histogram equalization to implement contrast enhancement in every mask. It involves two steps: first, sky region is segmented in order to restrain over-enhancement in the flat region and reduce noise; then, remove the sky pixels in masks and modify the histogram information in mask, thus the modified partially overlapped histogram equalization transformation function for enhancement can be gotten. This paper also proposes a novel fuzzy edge detection algorithm to evaluate above contrast enhancement effect. Experiments on many fog-degraded images demonstrate that the proposed improved algorithm is simple and effective in contrast enhancement of fog-degraded images.
Starting Page	522
Ending Page	526
File Size	255260
Page Count	5
File Format	PDF
ISBN	9781424410651
DOI	10.1109/ICWAPR.2007.4420725
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	detection Image edge detection Atmospheric modeling partially overlapped Light scattering sky region Image restoration Degradation Histograms edge Layout Contrast enhancement sub-block histogram equalization Particle scattering Radar scattering Image enhancement
Content Type	Text
Resource Type	Article

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