NDLI: Low light image enhancement with adaptive sigmoid transfer function

Content Provider	IET Digital Library
Author	Srinivas, Kankanala Bhandari, Ashish Kumar
Abstract	Low light image enhancement algorithms intent to produce visually pleasant images and target to extract valuable information for computer vision applications. The task of improving the quality of low light images is a challenging one. The existing methods for quality improvement undeniably annoy the visual aesthetics and suffer the major drawback of high computational complexity and less efficiency. To improve the visual quality and lower the distortions, a simple and computationally efficient low light image enhancement framework is presented in this study. To achieve this, an adaptive sigmoid transfer function (ASTF) is used and is derived from the sigmoid activation function of neural networks. By combining ASTF with a Laplacian operator, colour and contrast-enhanced images are obtained. Experiments show the effectiveness of the proposed method with state-of-the-art methods.
Starting Page	668
Ending Page	678
Page Count	11
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.2019.0781
Journal	IET Image Processing
Publisher Date	2019-11-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Sigmoid Transfer Function Computationally Efficient Low Light Image Enhancement Framework Computer Vision Computer Vision And Image Processing Technique Computer Vision Application Contrast-enhanced Image High Computational Complexity Image Enhancement Low Light Image Neural Computing Technique Neural Nets Optical, Image And Video Signal Processing Sigmoid Activation Function Transfer Function Visual Aesthetics Visual Quality Visually Pleasant Image
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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