{"title":"彩色图像的自然统计","authors":"Zeina Sinno, A. Bovik","doi":"10.1109/SSIAI.2018.8470308","DOIUrl":null,"url":null,"abstract":"The visual brain is optimally designed to process images from the natural environment that we perceive. Describing the natural environment statistically helps in understanding how the brain encodes those images efficiently. The Natural Scene Statistics (NSS) of the luminance component of images is the basis of several univariate and bivariate statistical models. The NSS of other colors or chromatic components have been less well-analyzed. In this paper, we study the univariate and bivariate NSS of luminance and other chromatic components and how they relate.","PeriodicalId":422209,"journal":{"name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"On the Natural Statistics of Chromatic Images\",\"authors\":\"Zeina Sinno, A. Bovik\",\"doi\":\"10.1109/SSIAI.2018.8470308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The visual brain is optimally designed to process images from the natural environment that we perceive. Describing the natural environment statistically helps in understanding how the brain encodes those images efficiently. The Natural Scene Statistics (NSS) of the luminance component of images is the basis of several univariate and bivariate statistical models. The NSS of other colors or chromatic components have been less well-analyzed. In this paper, we study the univariate and bivariate NSS of luminance and other chromatic components and how they relate.\",\"PeriodicalId\":422209,\"journal\":{\"name\":\"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)\",\"volume\":\"246 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSIAI.2018.8470308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSIAI.2018.8470308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The visual brain is optimally designed to process images from the natural environment that we perceive. Describing the natural environment statistically helps in understanding how the brain encodes those images efficiently. The Natural Scene Statistics (NSS) of the luminance component of images is the basis of several univariate and bivariate statistical models. The NSS of other colors or chromatic components have been less well-analyzed. In this paper, we study the univariate and bivariate NSS of luminance and other chromatic components and how they relate.
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