Abstract—One of the noise types that is normally degrades digital images, including grayscale digital images, is impulse noise. Therefore, researches regarding to impulse noise removal have become one of the active researches in the field of image restoration. Median based filter is normally becoming the choice to deal with this type of noise. However, there are many variations of median filter in literature. In addition to standard median filter, there are weighted median filter, iterative median filter, recursive median filter, directional median filter, switching median filter, and adaptive median filter. Therefore, this paper will survey these median filtering frameworks.
Index Terms—Impulse noise, median filter, standard median filter, weighted median filter, iterative median filter, recursive median filter, directional median filter, switching median filter, adaptive median filter.
Sin Hoong Teoh and Haidi Ibrahim are with the School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia (e-mail: haidi_ibrahim@ieee.org).
Cite: Sin Hoong Teoh and Haidi Ibrahim, "Median Filtering Frameworks for Reducing Impulse Noise from Grayscale Digital Images: A Literature Survey," International Journal of Future Computer and Communication vol. 1, no. 4 pp.323-326, 2012.
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