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Ismail Mohd
Universiti Putra Malaysia
Computer Science & IT

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An overview of multi-filters for eliminating impulse noise for digital images Achmad Abdurrazzaq; Ahmad Kadri Junoh; Wan Zuki Azman Wan Muhamad; Zainab Yahya; Ismail Mohd
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 1: February 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i1.12888

Abstract

An image through the digitization process is referred to as a digital image. The quality of the digital image may be degenerating due to interferences on the acquisition, transmission, extraction, etc. This attracted the attention of many researchers to study the causes of damage to the information in the image. In addition to finding cause of image damage, the researchers also looking for ways to overcome this problem. There are many filtering techniques that have been introduced to deal the damage to the information in the image. In addition to eliminating noise from the image, filtering techniques also aims to maintain the originality of the features in the image. Among the many research papers on image filtering there is a lack of review papers which are an important to facilitate researchers in understanding the differences in each filtering technique. Additionally, it helps researchers determine the direction of research conducted based on the results of previous research. Therefore, this paper presents a review of several filtering techniques that have been developed so far.
Co-Authors Achmad Abdurrazzaq Ahmad Kadri Junoh Wan Zuki Azman Wan Muhamad Zainab Yahya