{"title":"A novel interpolation method using radon transform","authors":"M. Faghih, H. Pourghassem","doi":"10.1109/CSPA.2011.5759887","DOIUrl":null,"url":null,"abstract":"There are different methods to interpolate a zoomed image such as nearest neighbor, bilinear, bicubic, adaptive interpolation and so on. These methods works on grayscale value of pixels so we name them pixel based methods. In this paper, we propose a line based method. In this method, an improved scheme of radon transform is used to convert image from dot domain into line domain. In the line domain, enlargement and interpolation is carried out and then interpolated image returns to dot domain. The proposed algorithm provides interpolated image with smooth and non-checker boundaries. The proposed algorithm obtains the better results in the images with long straight lines.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2011.5759887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
There are different methods to interpolate a zoomed image such as nearest neighbor, bilinear, bicubic, adaptive interpolation and so on. These methods works on grayscale value of pixels so we name them pixel based methods. In this paper, we propose a line based method. In this method, an improved scheme of radon transform is used to convert image from dot domain into line domain. In the line domain, enlargement and interpolation is carried out and then interpolated image returns to dot domain. The proposed algorithm provides interpolated image with smooth and non-checker boundaries. The proposed algorithm obtains the better results in the images with long straight lines.