NDLI: Local brightness adaptive image colour enhancement with Wasserstein distance

Content Provider	IET Digital Library
Author	Wang, Liqian Xiao, Liang Liu, Hongyi Wei, Zhihui
Abstract	Colour image enhancement is an important preprocessing phase of many image analysis tasks such as image segmentation, pattern recognition and so on. This study presents a new local brightness adaptive variational model using Wasserstein distance for colour image enhancement. Under the perceptually inspired variational framework, the proposed energy functional consists of an improved contrast energy term and a Wasserstein dispersion energy term. To better adjust image dynamic range, the authors propose a local brightness adaptive contrast energy term using the average brightness of image local patch as the local brightness indicator. To restore image true colours, a Wasserstein distance-based dispersion energy term is used to measure the statistical similarity between the original image and the enhanced image. The proposed energy functional is minimised by using a gradient descent algorithm. Two objective measures are used to quantitatively measure the enhancement quality. Experimental results demonstrate the efficiency of the proposed model for removing colour cast and haze, enhancing contrast, recovering details and equalising low key images.
Starting Page	43
Ending Page	53
Page Count	11
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 1, Jan (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0209
Journal	IET Image Processing
Publisher Date	2014-08-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Contrast Energy Energy Functional Gradient Descent Algorithm Gradient Method Image Analysis Image Colour Analysis Image Dynamic Range Image Enhancement Image Local Patch Image Segmentation Local Brightness Adaptive Image Colour Enhancement Optical, Image And Video Signal Processing Optimisation Technique Pattern Recognition Wasserstein Dispersion Energy Wasserstein Distance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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