DocumentCode
2577264
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
fYear
2010
fDate
May 31 2010-June 2 2010
Firstpage
79
Lastpage
85
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision (CRV), 2010 Canadian Conference on
Conference_Location
Ottawa, ON
Print_ISBN
978-1-4244-6963-5
Type
conf
DOI
10.1109/CRV.2010.17
Filename
5479483
Link To Document