NDLI: Enhancement of variably illuminated document images through noise-induced stochastic resonance

Content Provider	IET Digital Library
Author	Javed, Mohammed Bhattacharjee, Tryambak Nagabhushan, Panduranga
Abstract	The presence of noise is generally believed to suppress the actual signal, and subsequently, deteriorate the quality of the signal or image. However, this study counter argues, and proposes a novel technique of enhancing variably illuminated document images through the addition of external noise, using the famous physical phenomenon of stochastic resonance. Here, the fundamental relationship between inherent parameters of a dark and low contrast image, and the intensity of external noise-induced to produce best contrast enhancement is systematically modelled using regression line parameters. With this, the amount of noise to be added is automatically predicted, and is utilised to enhance the dark and low contrast document images. The proposed enhancement technique using noise-induced (non-dynamic) stochastic resonance is computationally very efficient, unlike the existing methods which estimate the optimum value of noise to be added through a time-consuming iterative method. The efficacy of the developed technique is demonstrated through experimental results. Overall, a mathematical model for predicting the optimum noise standard deviation (NSD), and subsequently three variants of image enhancement algorithms based on global-NSD, partition-NSD and mask-NSD are the major contributions reported in this research work.
Starting Page	2562
Ending Page	2571
Page Count	10
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.2019.0145
Journal	IET Image Processing
Publisher Date	2019-09-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actual Signal Computer Vision And Image Processing Technique Contrast Enhancement Dark Contrast Document Image Dark Contrast Image Document Image Processing Document Processing Technique Enhancement Technique External Noise-induced Famous Physical Phenomenon Image Enhancement Image Enhancement Algorithm Iterative Method Low Contrast Document Image Low Contrast Image Modelled Using Regression Line Parameter Noise Noise-induced Stochastic Resonance Optical, Image And Video Signal Processing Optimum Noise Standard Deviation Statistics Stochastic Linearised SCUC Variably Illuminated Document Image
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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