Performance Evaluation of various Image De-noising Techniques
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@Article{JICS-8-013,
author = {Gurmeet Kaur and Jagroop Singh},
title = {Performance Evaluation of various Image De-noising Techniques},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {8},
number = {1},
pages = {013--026},
abstract = { The process of removing noise from the original image is still a demanding problem for
researchers. There have been several algorithms and each has its assumptions, merits, and demerits. The
prime focus of this paper is related to the pre processing of an image before it can be used in applications.
The pre processing is done by de-noising of images. In order to achieve these de-noising algorithms, filtering
approach and wavelet based approach are used and performs their comparative study. Different noises such
as Gaussian noise, salt and pepper noise, speckle noise are used. The wavelet based approach has been
proved to be the best in de-noising images corrupted with Gaussian noise, salt and pepper noise and speckle
noise A quantitative measure of comparison is provided by the parameters like Peak signal to noise ratio,
Root mean square error, Entropy and Correlation of the image.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22625.html}
}
TY - JOUR
T1 - Performance Evaluation of various Image De-noising Techniques
AU - Gurmeet Kaur and Jagroop Singh
JO - Journal of Information and Computing Science
VL - 1
SP - 013
EP - 026
PY - 2024
DA - 2024/01
SN - 8
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22625.html
KW - Gaussian noise, Salt & Pepper noise, Speckle noise, Average filter, Wiener filter, Gaussian
Filter, Median filter, Wavelet transform.
AB - The process of removing noise from the original image is still a demanding problem for
researchers. There have been several algorithms and each has its assumptions, merits, and demerits. The
prime focus of this paper is related to the pre processing of an image before it can be used in applications.
The pre processing is done by de-noising of images. In order to achieve these de-noising algorithms, filtering
approach and wavelet based approach are used and performs their comparative study. Different noises such
as Gaussian noise, salt and pepper noise, speckle noise are used. The wavelet based approach has been
proved to be the best in de-noising images corrupted with Gaussian noise, salt and pepper noise and speckle
noise A quantitative measure of comparison is provided by the parameters like Peak signal to noise ratio,
Root mean square error, Entropy and Correlation of the image.
Gurmeet Kaur and Jagroop Singh. (2024). Performance Evaluation of various Image De-noising Techniques.
Journal of Information and Computing Science. 8 (1).
013-026.
doi:
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