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All Journal JOIV : International Journal on Informatics Visualization
Bilal Zahran
Al- Balqa Applied University (BAU), Jordan
Computer Science & IT

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Salt and Pepper Noise: Effects and Removal Jamil Azzeh; Bilal Zahran; Ziad Alqadi
JOIV : International Journal on Informatics Visualization Vol 2, No 4 (2018)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1082.719 KB) | DOI: 10.30630/joiv.2.4.151

Abstract

Noises degrade image quality which causes information losing and unsatisfying visual effects. Salt and Pepper noise is one of the most popular noises that affect image quality. In RGB color image Salt and pepper noise changes the number of occurrences of colors combination depending on the noise ratio. Many methods have been proposed to eliminate Salt and Pepper noise from color image with minimum loss of information. In this paper we will investigate the effects of adding salt and pepper noise to RGB color image, the experimental noise ratio will be calculated and the color combination with maximum and minimum numbers of occurrence will be calculated and detected in RGB color image. In addition this paper proposed a methodology of salt and pepper noise elimination for color images using median filter providing the reconstruction of an image in order to accept result with minimum loss of information. The proposed methodology is to be implemented, tested and experimental results will be analyzed using the calculated values of RMSE and PSNR.
Co-Authors Jamil Azzeh Ziad Alqadi