{"title":"单传感器成像的多光谱去马赛克技术","authors":"H. Aggarwal, A. Majumdar","doi":"10.1109/NCVPRIPG.2013.6776236","DOIUrl":null,"url":null,"abstract":"A generic-filter array design have been proposed to capture multi-spectral images using hypothetical single-sensor multi-spectral cameras. The design idea is based on uniform sampling of intensity values from each band irrespective of spectral properties of any particular band. A reconstruction technique have also been proposed to linearly interpolate unknown intensity values of other bands at each pixel. Proposed technique was evaluated using two multispectral image datasets where one was of Landsat satellite and another was of cooled CCD camera Apogee Alta U260. Quantitative evaluation of the proposed technique was done using peak signal to noise ratio.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Multi-spectral demosaicing technique for single-sensor imaging\",\"authors\":\"H. Aggarwal, A. Majumdar\",\"doi\":\"10.1109/NCVPRIPG.2013.6776236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A generic-filter array design have been proposed to capture multi-spectral images using hypothetical single-sensor multi-spectral cameras. The design idea is based on uniform sampling of intensity values from each band irrespective of spectral properties of any particular band. A reconstruction technique have also been proposed to linearly interpolate unknown intensity values of other bands at each pixel. Proposed technique was evaluated using two multispectral image datasets where one was of Landsat satellite and another was of cooled CCD camera Apogee Alta U260. Quantitative evaluation of the proposed technique was done using peak signal to noise ratio.\",\"PeriodicalId\":436402,\"journal\":{\"name\":\"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCVPRIPG.2013.6776236\",\"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 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCVPRIPG.2013.6776236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
摘要
提出了一种通用滤波阵列设计,用于使用假设的单传感器多光谱相机捕获多光谱图像。设计思想是基于对每个波段的强度值进行均匀采样,而不考虑任何特定波段的光谱特性。本文还提出了一种重建技术,用于在每个像素上线性插值其他波段的未知强度值。利用Landsat卫星和Apogee Alta U260冷却CCD相机的两组多光谱图像数据对该技术进行了评价。利用峰值信噪比对该方法进行了定量评价。
Multi-spectral demosaicing technique for single-sensor imaging
A generic-filter array design have been proposed to capture multi-spectral images using hypothetical single-sensor multi-spectral cameras. The design idea is based on uniform sampling of intensity values from each band irrespective of spectral properties of any particular band. A reconstruction technique have also been proposed to linearly interpolate unknown intensity values of other bands at each pixel. Proposed technique was evaluated using two multispectral image datasets where one was of Landsat satellite and another was of cooled CCD camera Apogee Alta U260. Quantitative evaluation of the proposed technique was done using peak signal to noise ratio.