NDLI: Effective image enhancement techniques for fog-affected indoor and outdoor images

Content Provider	IET Digital Library
Author	Kim, Kyungil Kim, Soohyun Kim, Kyung Soo
Abstract	Over the past decade, much research has been done to improve single-fog images. However, most of these have concentrated on outdoor environments and little has been done for indoor environments. In this study, an effective method of removing fog from images both indoors and outdoors is presented. A new single image enhancement approach is based on mixture of dark channel prior (DCP) and contrast limited adaptive histogram equalisation with discrete wavelet transform (CLAHE-DWT) algorithms. With the DCP algorithm using modified transmission map, the authors obtained fast processing speed and clean dehazed image without refining process. The CLAHE and DWT methods improved the contrast and sharpness of images. Finally, an enhanced image was produced by fusing the CLAHE and DWT images. To demonstrate the effectiveness of the proposed method, the authors performed objective image quality assessments, and so on. Through a variety of experiments for various indoor and outdoor images with fog, the proposed method was proven to be highly effective.
Starting Page	465
Ending Page	471
Page Count	7
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 4, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0819
Journal	IET Image Processing
Publisher Date	2017-11-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CLAHE-DWT Algorithm Computer Vision And Image Processing Technique Contrast Limited Adaptive Histogram Equalisation with Discrete Wavelet Transform Algorithm Dark Channel Prior Discrete Wavelet Transform Image Enhancement Integral Transforms Modified Transmission Map Objective Image Quality Assessments Optical, Image And Video Signal Processing Single Image Enhancement Approach Single-fog Image
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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