{"title":"非压缩调整大小彩色数字图像的无二义插值率估计","authors":"Jesus Valera, N. García","doi":"10.1109/IWBF.2013.6547314","DOIUrl":null,"url":null,"abstract":"A method is proposed for unambiguously determining the interpolation rate in uncompressed resized color images over a broad range of possible rates, thus overcoming the uncertainty exposed in previous papers. Information from the three RGB channels is combined to improve performance. Experimental results show high reliability in the posteriori probability of correct classification, yielding an average value of 81.7% and 90.3% in the case of images with a CFA type sensor. The proposed method is also used for the automatic detection of CFA traces with good results.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Unambiguous interpolation rate estimation in uncompressed resized color digital images\",\"authors\":\"Jesus Valera, N. García\",\"doi\":\"10.1109/IWBF.2013.6547314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is proposed for unambiguously determining the interpolation rate in uncompressed resized color images over a broad range of possible rates, thus overcoming the uncertainty exposed in previous papers. Information from the three RGB channels is combined to improve performance. Experimental results show high reliability in the posteriori probability of correct classification, yielding an average value of 81.7% and 90.3% in the case of images with a CFA type sensor. The proposed method is also used for the automatic detection of CFA traces with good results.\",\"PeriodicalId\":412596,\"journal\":{\"name\":\"2013 International Workshop on Biometrics and Forensics (IWBF)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Workshop on Biometrics and Forensics (IWBF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWBF.2013.6547314\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Workshop on Biometrics and Forensics (IWBF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWBF.2013.6547314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unambiguous interpolation rate estimation in uncompressed resized color digital images
A method is proposed for unambiguously determining the interpolation rate in uncompressed resized color images over a broad range of possible rates, thus overcoming the uncertainty exposed in previous papers. Information from the three RGB channels is combined to improve performance. Experimental results show high reliability in the posteriori probability of correct classification, yielding an average value of 81.7% and 90.3% in the case of images with a CFA type sensor. The proposed method is also used for the automatic detection of CFA traces with good results.
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