{"title":"双模图像质量评价指标","authors":"F. Chin, C. S. Xydeas","doi":"10.1109/VIPROM.2002.1026643","DOIUrl":null,"url":null,"abstract":"This paper presents a perceptual image quality assessment metric based on the visible differences predictor (VDP) (Daly, 1993). The proposed metric operates in two modes. In quality mode, the metric produces a single value representation of the overall visible image quality (VIQ), whereas in distortion mode, the metric provides four distortion values each associated with a specific type of image content. The correlation coefficient between the objective VIQ and subjective test results is 0.96, compared to 0.86 obtained by the PSNR measure.","PeriodicalId":223771,"journal":{"name":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dual-mode image quality assessment metric\",\"authors\":\"F. Chin, C. S. Xydeas\",\"doi\":\"10.1109/VIPROM.2002.1026643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a perceptual image quality assessment metric based on the visible differences predictor (VDP) (Daly, 1993). The proposed metric operates in two modes. In quality mode, the metric produces a single value representation of the overall visible image quality (VIQ), whereas in distortion mode, the metric provides four distortion values each associated with a specific type of image content. The correlation coefficient between the objective VIQ and subjective test results is 0.96, compared to 0.86 obtained by the PSNR measure.\",\"PeriodicalId\":223771,\"journal\":{\"name\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VIPROM.2002.1026643\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VIPROM.2002.1026643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a perceptual image quality assessment metric based on the visible differences predictor (VDP) (Daly, 1993). The proposed metric operates in two modes. In quality mode, the metric produces a single value representation of the overall visible image quality (VIQ), whereas in distortion mode, the metric provides four distortion values each associated with a specific type of image content. The correlation coefficient between the objective VIQ and subjective test results is 0.96, compared to 0.86 obtained by the PSNR measure.
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