{"title":"Distortion Metrics for Image Coding Using Monochrome and Color Human Visual Models","authors":"S. Budge","doi":"10.1364/av.1989.tha6","DOIUrl":null,"url":null,"abstract":"The use of a human visual model based distortion measure for image coding and evaluation is described. Test results show that when an image is encoded using the visual model, the measured quality correlates better with visual quality when the measurements are made within the model, and better images are produced.","PeriodicalId":344719,"journal":{"name":"Applied Vision","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/av.1989.tha6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
The use of a human visual model based distortion measure for image coding and evaluation is described. Test results show that when an image is encoded using the visual model, the measured quality correlates better with visual quality when the measurements are made within the model, and better images are produced.
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