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Volume 8, Issue 1
Performance Evaluation of various Image De-noising Techniques

Gurmeet Kaur and Jagroop Singh

J. Info. Comput. Sci. , 8 (2013), pp. 013-026.

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  • 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.
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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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