{"title":"增强的方向加权去马赛克数码相机","authors":"Taeyoung Jung, Siyoung Yang, Joohyun Lee, Jechang Jeong","doi":"10.1109/ICSPCS.2008.4813721","DOIUrl":null,"url":null,"abstract":"Most digital camera uses the color filter array to reduce the cost and size. When we use the color filter array, however, we need to interpolate the missing pixels. In this paper, we propose an enhanced directionally weighted demosaicing algorithm for the color filtered images of the single-sensor digital camera. The noise can be mixed to the captured image and the min, max, and min-max filters are effective in removing those noises. We use the min, max and min-max filters to reduce the effects of the neighboring noise samples. Compared to the conventional algorithms, the proposed algorithm achieves better visual quality without aliasing artifacts.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Enhanced Directionally Weighted Demosaicing for Digital Cameras\",\"authors\":\"Taeyoung Jung, Siyoung Yang, Joohyun Lee, Jechang Jeong\",\"doi\":\"10.1109/ICSPCS.2008.4813721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most digital camera uses the color filter array to reduce the cost and size. When we use the color filter array, however, we need to interpolate the missing pixels. In this paper, we propose an enhanced directionally weighted demosaicing algorithm for the color filtered images of the single-sensor digital camera. The noise can be mixed to the captured image and the min, max, and min-max filters are effective in removing those noises. We use the min, max and min-max filters to reduce the effects of the neighboring noise samples. Compared to the conventional algorithms, the proposed algorithm achieves better visual quality without aliasing artifacts.\",\"PeriodicalId\":202698,\"journal\":{\"name\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCS.2008.4813721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCS.2008.4813721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced Directionally Weighted Demosaicing for Digital Cameras
Most digital camera uses the color filter array to reduce the cost and size. When we use the color filter array, however, we need to interpolate the missing pixels. In this paper, we propose an enhanced directionally weighted demosaicing algorithm for the color filtered images of the single-sensor digital camera. The noise can be mixed to the captured image and the min, max, and min-max filters are effective in removing those noises. We use the min, max and min-max filters to reduce the effects of the neighboring noise samples. Compared to the conventional algorithms, the proposed algorithm achieves better visual quality without aliasing artifacts.