NDLI: Low light image enhancement based on non-uniform illumination prior model

Content Provider	IET Digital Library
Author	Wu, Yahong Zheng, Jieying Song, Wanru Liu, Feng
Abstract	Images captured under low-light conditions are often of low visibility. To improve visualisation, a novel low light image enhancement method is presented based on the non-uniform illumination prior model. First, the k-means method is used to process the value channel in the hue-saturation-value (HSV) colour space after space conversion of the input image. Then, the initial illumination of segmented scenes is estimated by an improved maximum red–green–blue method. Next, an illumination preservation method is presented to maintain the naturalness of the enhanced image. Furthermore, the non-uniform illumination prior model is proposed to enhance the textural details in the enhanced image. Fast Fourier transformation is used to accelerate the optimisation. Since an adaptive weight is assigned, the proposed method can preserve the edges and textures at the bright and edge areas. Experimental analysis shows that the results using the proposed method have less noise, better illumination, improved contrast, and satisfactory naturalness. In addition, the proposed method can provide better quality images in terms of subjective and objective assessments.
Starting Page	2448
Ending Page	2456
Page Count	9
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 13, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6208
Journal	IET Image Processing
Publisher	The Institution of Engineering and Technology
Publisher Date	2019-08-01
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Computer Vision And Image Processing Technique Fast Fourier Transform Fast Fourier Transformation HSV Colour Space Illumination Preservation Method Image Colour Analysis Image Enhancement Image Segmentation Image Texture Integral Transforms K-means Method Low Light Image Enhancement Method Maximum Red-green-blue Method Nonuniform Illumination Prior Model Optical, Image And Video Signal Processing Segmented Scenes
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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