{"title":"用平方根积分法评价主观图像质量","authors":"P. Barten","doi":"10.1364/JOSAA.7.002024","DOIUrl":null,"url":null,"abstract":"After a short survey of some other measures of perceived image quality, the recently proposed square root integral (SQRI) is described, with special attention to the way in which this measure takes the effect of various display parameters into account.\n Experimental data on subjective image quality at varying resolution, addressability, contrast, luminance and display size are compared with predictions by the square root Integral. From the comparison it appears that there is a high correlation between perceived image quality and calculated SQRI value.","PeriodicalId":344719,"journal":{"name":"Applied Vision","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"214","resultStr":"{\"title\":\"Evaluation of Subjective Image Quality with the Square Root Integral Method\",\"authors\":\"P. Barten\",\"doi\":\"10.1364/JOSAA.7.002024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"After a short survey of some other measures of perceived image quality, the recently proposed square root integral (SQRI) is described, with special attention to the way in which this measure takes the effect of various display parameters into account.\\n Experimental data on subjective image quality at varying resolution, addressability, contrast, luminance and display size are compared with predictions by the square root Integral. From the comparison it appears that there is a high correlation between perceived image quality and calculated SQRI value.\",\"PeriodicalId\":344719,\"journal\":{\"name\":\"Applied Vision\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"214\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/JOSAA.7.002024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/JOSAA.7.002024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of Subjective Image Quality with the Square Root Integral Method
After a short survey of some other measures of perceived image quality, the recently proposed square root integral (SQRI) is described, with special attention to the way in which this measure takes the effect of various display parameters into account.
Experimental data on subjective image quality at varying resolution, addressability, contrast, luminance and display size are compared with predictions by the square root Integral. From the comparison it appears that there is a high correlation between perceived image quality and calculated SQRI value.