Title :
Perceptual Colour Image Sharpening using Fuzzy Morphological Agents
Author :
Wirth, M.A. ; Nikitenko, D.
Author_Institution :
Dept. of Comput. & Inf. Sci., Guelph Univ., Ont.
Abstract :
The processing of colour images to improve sharpness has nearly always been realized in RGB colour space. This paper extends our earlier algorithm for image sharpening based on fuzzy morphology to colour images. More specifically it explores the use of this algorithm in various colour domain. Part of the goal is to determine which colour space provides a result which does not differ immeasurably from the original with respect to chromaticity
Keywords :
fuzzy set theory; image colour analysis; RGB colour space; chromaticity; fuzzy morphological agents; perceptual colour image sharpening; Color; Colored noise; Digital cameras; Extraterrestrial phenomena; Filters; Humans; Image processing; Information science; Morphology; Signal to noise ratio;
Conference_Titel :
Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0362-6
Electronic_ISBN :
1-4244-0363-4
DOI :
10.1109/NAFIPS.2006.365414
