{"title":"彩色滤光器阵列域的去雾","authors":"Yeejin Lee, Truong Q. Nguyen, Changyoung Han","doi":"10.1109/ISOCC.2016.7799846","DOIUrl":null,"url":null,"abstract":"This paper introduces an alternative image processing pipeline for efficiently implementing dehazing algorithms. In the proposed pipeline framework, demosaicking is performed after dehazing process and transmission is estimated in a color filter array plane itself. The proposed method reduces implementation complexity and suppresses demosaicking artifacts amplification. Experimental results verify that the proposed pipeline framework requires less memory resources and reduces computational complexity while preserving visual quality.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dehazing in color filter array domain\",\"authors\":\"Yeejin Lee, Truong Q. Nguyen, Changyoung Han\",\"doi\":\"10.1109/ISOCC.2016.7799846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces an alternative image processing pipeline for efficiently implementing dehazing algorithms. In the proposed pipeline framework, demosaicking is performed after dehazing process and transmission is estimated in a color filter array plane itself. The proposed method reduces implementation complexity and suppresses demosaicking artifacts amplification. Experimental results verify that the proposed pipeline framework requires less memory resources and reduces computational complexity while preserving visual quality.\",\"PeriodicalId\":278207,\"journal\":{\"name\":\"2016 International SoC Design Conference (ISOCC)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International SoC Design Conference (ISOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOCC.2016.7799846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC.2016.7799846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces an alternative image processing pipeline for efficiently implementing dehazing algorithms. In the proposed pipeline framework, demosaicking is performed after dehazing process and transmission is estimated in a color filter array plane itself. The proposed method reduces implementation complexity and suppresses demosaicking artifacts amplification. Experimental results verify that the proposed pipeline framework requires less memory resources and reduces computational complexity while preserving visual quality.