{"title":"基于均匀性的图像客观质量度量","authors":"Kebin An, Jun Sun, Weina Du","doi":"10.1093/ietisy/e89-d.10.2682","DOIUrl":null,"url":null,"abstract":"This paper proposes a fast and reliable image objective quality evaluation technique. This method takes into account the local homogeneous property of the image and uses the local luminance and homogeneity estimation based on high-pass operators to evaluate the image quality. The proposed method provides better consistency with the perceived image quality and is suitable for real applications to control the processed image quality.","PeriodicalId":385759,"journal":{"name":"2005 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Homogeneity based image objective quality metric\",\"authors\":\"Kebin An, Jun Sun, Weina Du\",\"doi\":\"10.1093/ietisy/e89-d.10.2682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a fast and reliable image objective quality evaluation technique. This method takes into account the local homogeneous property of the image and uses the local luminance and homogeneity estimation based on high-pass operators to evaluate the image quality. The proposed method provides better consistency with the perceived image quality and is suitable for real applications to control the processed image quality.\",\"PeriodicalId\":385759,\"journal\":{\"name\":\"2005 International Symposium on Intelligent Signal Processing and Communication Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 International Symposium on Intelligent Signal Processing and Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/ietisy/e89-d.10.2682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 International Symposium on Intelligent Signal Processing and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ietisy/e89-d.10.2682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a fast and reliable image objective quality evaluation technique. This method takes into account the local homogeneous property of the image and uses the local luminance and homogeneity estimation based on high-pass operators to evaluate the image quality. The proposed method provides better consistency with the perceived image quality and is suitable for real applications to control the processed image quality.