Performance Evaluation of various Image De-noising Techniques
Year: 2013
Journal of Information and Computing Science, Vol. 8 (2013), Iss. 1 : pp. 13–26
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.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22625
Journal of Information and Computing Science, Vol. 8 (2013), Iss. 1 : pp. 13–26
Published online: 2013-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 14