Carman K. M. Yuk, O. Au, Richard Y. M. Li, Sui-Yuk Lam
{"title":"Soft-Decision Color Demosaicking with Direction Vector Selection","authors":"Carman K. M. Yuk, O. Au, Richard Y. M. Li, Sui-Yuk Lam","doi":"10.1109/MMSP.2007.4412913","DOIUrl":null,"url":null,"abstract":"We propose a soft-decision color demosaicking algorithm with direction vector selection which effectively minimizing color artifacts. Since our interpolation uses soft decision and decision making bases on direction vectors which consists of three primary colors together with same direction, it not only maintains the direction consistency, but also significantly reduces color artifacts by largely avoiding interpolation across the edge. Experimental results show that our proposed algorithm outperforms state-of-art methods and the visual quality of reconstructed images is also obviously improved.","PeriodicalId":225295,"journal":{"name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 9th Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2007.4412913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
We propose a soft-decision color demosaicking algorithm with direction vector selection which effectively minimizing color artifacts. Since our interpolation uses soft decision and decision making bases on direction vectors which consists of three primary colors together with same direction, it not only maintains the direction consistency, but also significantly reduces color artifacts by largely avoiding interpolation across the edge. Experimental results show that our proposed algorithm outperforms state-of-art methods and the visual quality of reconstructed images is also obviously improved.