Research Article
Model to estimate the salt and pepper noise density level on gray-scale digital image
@ARTICLE{10.4108/eai.12-6-2018.154816, author={Rajesh Kanna B and Mohd Shafi Bhat and Vijayalakshmi C and Alex Noel Joseph Raj}, title={Model to estimate the salt and pepper noise density level on gray-scale digital image}, journal={EAI Endorsed Transactions on Energy Web and Information Technologies}, volume={5}, number={18}, publisher={EAI}, journal_a={EW}, year={2018}, month={6}, keywords={Entropy, Salt-Pepper noise, Noise density}, doi={10.4108/eai.12-6-2018.154816} }- Rajesh Kanna B
Mohd Shafi Bhat
Vijayalakshmi C
Alex Noel Joseph Raj
Year: 2018
Model to estimate the salt and pepper noise density level on gray-scale digital image
EW
EAI
DOI: 10.4108/eai.12-6-2018.154816
Abstract
In this research paper, we proposed a probabilistic analysis to find the relationship between entropy of image and salt & pepper noise density. For this estimation, we have employed entropy inspection of spatial domain technique. Based on the fact that entropy of image signal decreases with increase in noise density and this decreasing relationship between noise and entropy is robust to individual images traits. In this work, we exploited the entropy values of noisy image with respect to its noise density, and analyzed that such relation is robust to individual images. Further, we considered such relationships for estimation of noise level. Based on the numerical calculations and graphical representations it reveals to the fact that the error is reduced to 8.9% which can be considered as an appropriate model to estimate the salt and pepper noise density.
Copyright © 2018 Rajesh Kanna .B et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
