{"title":"A Fast Algorithm for the Demosaicing Problem Concerning the Bayer Pattern","authors":"A. Boccuto, I. Gerace, V. Giorgetti, M. Rinaldi","doi":"10.2174/1876825301906010001","DOIUrl":null,"url":null,"abstract":"\n \n In this paper, we deal with the demosaicing problem when the Bayer pattern is used. We propose a fast heuristic algorithm, consisting of three parts.\n \n \n \n In the first one, we initialize the green channel by means of an edge-directed and weighted average technique. In the second part, the red and blue channels are updated, thanks to an equality constraint on the second derivatives. The third part consists of a constant-hue-based interpolation.\n \n \n \n We show experimentally how the proposed algorithm gives in mean better reconstructions than more computationally expensive algorithms.\n","PeriodicalId":147157,"journal":{"name":"The Open Signal Processing Journal","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Signal Processing Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1876825301906010001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we deal with the demosaicing problem when the Bayer pattern is used. We propose a fast heuristic algorithm, consisting of three parts.
In the first one, we initialize the green channel by means of an edge-directed and weighted average technique. In the second part, the red and blue channels are updated, thanks to an equality constraint on the second derivatives. The third part consists of a constant-hue-based interpolation.
We show experimentally how the proposed algorithm gives in mean better reconstructions than more computationally expensive algorithms.