HOME > Archive > 2013 > Volume 4 Number 4 (Aug. 2013) >
IJIMT 2013 Vol.4(4): 393-396 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2013.V4.428

Variations on Impulse Noise Model in Digital Image Processing Field: A Survey on Current Research Inclination

Sin Hoong Teoh and Haidi Ibrahim
Abstract— As the information from digital images are easier to be evaluated as compared with one dimensional signals, digital images are now commonly used in may research fields. Unfortunately, similar to other digital signals, digital images are also sometimes unintentionally corrupted by unwanted signals, called noise. One of the noises commonly corrupting digital image is the impulse noise. Therefore, impulse noise reduction has become one of the active researches in these recent years. Many impulse noise models have been proposed by researchers for this research purpose. Therefore, the purpose of this paper is to investigate the popularity of these noise models. The research is done by a survey on available online materials. However, because there are more than thousands of related articles available online, the survey was carried out based on the keywords related to those articles. The research was restricted only to IEEExplore® database. The result from this survey shown that the research related to impulse noise model in digital image processing is still showing an increasing trend. Among the impulse noise models, the saltand- pepper noise is the most used impulse noise model in current literature.

Index Terms— Impulse noise, salt-and-pepper noise, fixedvalued impulse noise, random-valued impulse noise, uniform noise, universal impulse noise.

The authors are with the School of Electrical & Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Perai, Penang, Malaysia (e-mail: tshoong81@yahoo.com; haidi_ibrahim@ieee.org).

[PDF]

Cite: Sin Hoong Teoh and Haidi Ibrahim, " Variations on Impulse Noise Model in Digital Image Processing Field: A Survey on Current Research Inclination," International Journal of Innovation, Management and Technology vol. 4, no. 4, pp. 393-396, 2013.

PREVIOUS PAPER
The Performance of Data Mining Techniques in Prediction of Yarn Quality
NEXT PAPER
Influence of Transaction Trust in B2B e-Marketplaces: An Investigation of Tan and Thoen's Views
Copyright © 2008-2015. International Journal of Innovation, Management and Technology. All rights reserved.
E-mail: ijimt@ejournal.net