A proposed de-noising algorithm

Abdulwahab, Nawafil and Alshaikhli, Imad Fakhri Taha (2020) A proposed de-noising algorithm. The International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2). pp. 90-96. E-ISSN 2462-229X

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Abstract

Minimizing noises from images to restore it and increase its quality is a crucial step. For this, an efficient algorithm was proposed to remove noises such as (salt pepper, Gaussian, and speckle) noises from grayscale images. The algorithm did that by selecting a window measuring 3x3 as the center of processing pixels, other algorithms did that by using median filter (MF), adopted median filter (AMF), adopted weighted filter (AWF), and the adopted weighted median filter (AWMF). The results showed that the proposed algorithm compared to previous algorithms by having a better signal-to-noise ratio (PSNR).

Item Type:	Article (Journal)
Additional Information:	6534/86329
Uncontrolled Keywords:	Gaussian noise, Salt and pepper noise, Speckle noise, Proposed algorithm
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Professor Imad Taha
Date Deposited:	18 Dec 2020 12:02
Last Modified:	18 Dec 2020 12:02
URI:	http://irep.iium.edu.my/id/eprint/86329

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