Title :
The Effect of Colour Space on Image Sharpening Algorithms
Author :
Wirth, Michael ; Nikitenko, Denis
Author_Institution :
Sch. of Comput. Sci., Univ. of Guelph, Guelph, ON, Canada
fDate :
May 31 2010-June 2 2010
Abstract :
The processing of colour images to improve sharpness is nearly always been realized in RGB colour space. This paper explores the effects of using different colour spaces on the application of image sharpening algorithms. 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. Unsharp masking, and fuzzy morphological sharpening will be tested in RGB, YIQ and CIELab colour spaces.
Keywords :
image colour analysis; image enhancement; CIELab colour space; RGB colour space; YIQ colour space; colour image processing; fuzzy morphological sharpening; image sharpening algorithm; unsharp masking; Color; Colored noise; Computer science; Computer vision; Extraterrestrial phenomena; Filters; Humans; Image processing; Orbital robotics; Robot vision systems; CIE*Lab; RGB; YIQ; colour spaces; image sharpening; unsharp masking;
Conference_Titel :
Computer and Robot Vision (CRV), 2010 Canadian Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-6963-5
DOI :
10.1109/CRV.2010.17
