Suppression of noise in historical photographs using a fuzzy truncated-median filter

Authors:
Michael Wirth;Bruce Bobier
Affiliations:
Dept. Computing & Information Science, University of Guelph;Dept. Computing & Information Science, University of Guelph
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

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Abstract

To a large extent noise suppression algorithms have been designed to deal with the two most classically defined types of noise: impulsive and Gaussian noise. However digitized images such as those acquired from historical photographs such as albumen prints contain a form of quasi-noise we shall term chaotic noise. This paper describes the concept of chaotic noise and proposes two fuzzy filters to suppress various types of noise in historical photographs based on the truncated median, an approximation of the mode filter.