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Clustering based Impulse Detection and Rank-ordered Regularization for the Restoration of Impulse Corrupted Digital Images

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6 Author(s)
Saudia, S. ; Centre for Inf. Technol. & Eng., Manonmaniam Sundaranar Univ., Tirunelveli ; Varghese, J. ; Nallaperumal, K. ; Allwin, S.
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The paper puts forward a new filtering algorithm for the restoration of digital images corrupted by impulse noise. The proposed filter includes a Hard-C means clustering stage in the impulse detection phase to facilitate pixel classification and an adaptive impulse filtering scheme in the restoration phase. The impulse detection phase avoids mis-classification of signals as impulses by identifying the high frequency image details from impulsive pixels. The adaptive restoration phase identifies suitable impulse remover from among the reliable signals of a valid neighbourhood. Subjective and objective assessments favour the filtering scheme of the proposed algorithm at all impulse noise levels than many top-ranking filters.

Published in:

Advanced Computing and Communications, 2008. ADCOM 2008. 16th International Conference on

Date of Conference:

14-17 Dec. 2008