NDLI: Normalised gamma transformation-based contrast-limited adaptive histogram equalisation with colour correction for sand

Content Provider	IET Digital Library
Author	Shi, Zhenghao Feng, Yaning Zhao, Minghua Zhang, Erhu He, Lifeng
Abstract	Images captured in the sand–dust weather often suffer from serious colour cast and poor contrast, and this has serious implications for outdoor computer vision systems. To address these problems, a normalised gamma transformation-based contrast-limited adaptive histogram equalisation (CLAHE) with colour correction in Lab colour space for sand–dust image enhancement is proposed in this study. This method consists of image contrast enhancement and image colour correction. To avoid producing new colour deviation, the input sand–dust images are first transformed from red, green, and blue colour space into Lab colour space. Then, the contrast of the lightness component (L channel) of the sand–dust image is enhanced using CLAHE. To avoid unbalanced contrast, as well as to reduce the overincreased brightness caused by CLAHE, a normalised gamma correction function is introduced to CLAHE. After that, the a and b chromatic components are recovered by a grey-world-based colour correction method. Experiments on real sand–dust images demonstrate that the proposed method can obtain the highest percentage of new visible edges for all testing images. The contrast restoration exhibits good colour fidelity and proper brightness.
Starting Page	747
Ending Page	756
Page Count	10
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 4, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0992
Journal	IET Image Processing
Publisher Date	2019-11-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Blue Colour Space CLAHE Colour Deviation Colour Fidelity Computer Vision Computer Vision And Image Processing Technique Contrast Restoration Dust Green Colour Space Grey-world-based Colour Correction Method Image Colour Analysis Image Colour Correction Image Contrast Enhancement Image Enhancement Image Segmentation Input Sand–dust Images Lab Colour Space Normalised Gamma Correction Function Normalised Gamma Transformation-based Contrast-limited Adaptive Histogram Equalisation Optical, Image And Video Signal Processing Red Colour Space Sand Sand–dust Image Enhancement Sand–dust Weather Serious Colour Cast Testing Image Unbalanced Contrast
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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