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

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.