{"title":"The Effect of Colour Space on Image Sharpening Algorithms","authors":"M. Wirth, D. Nikitenko","doi":"10.1109/CRV.2010.17","DOIUrl":null,"url":null,"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.","PeriodicalId":358821,"journal":{"name":"2010 Canadian Conference on Computer and Robot Vision","volume":"164 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Canadian Conference on Computer and Robot Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRV.2010.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28
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.