{"title":"以最小的信息损失对数字图像进行放大和缩小","authors":"A. Judi","doi":"10.23883/ijrter.conf.20190304.004.pp6k5","DOIUrl":null,"url":null,"abstract":"Color demosaicing is a key image processing step aiming to reconstruct the missing pixels from a recorded raw image. Without reconstruction the image is with a poor quality and produce strong visible artifacts. In current digital era, the image interpolation technique is based on multiresolution technique are being discovered and developed. The most important aspect of image processing is the ways in which the quality of an image is improved using various techniques. Image interpolation is one such technique. Interpolation technique determine the values of function at position lying between samples. The interpolation techniques are nearest neighbour, bilinear, bicubic interpolation. My work presents demosaicing using alternating projection with better performance with minimum loss of information than bilinear interpolation.","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"AN ENLARGEMENT AND REDUCTION OF DIGITAL IMAGES WITH MINIMUM LOSS OF INFORMATION\",\"authors\":\"A. Judi\",\"doi\":\"10.23883/ijrter.conf.20190304.004.pp6k5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Color demosaicing is a key image processing step aiming to reconstruct the missing pixels from a recorded raw image. Without reconstruction the image is with a poor quality and produce strong visible artifacts. In current digital era, the image interpolation technique is based on multiresolution technique are being discovered and developed. The most important aspect of image processing is the ways in which the quality of an image is improved using various techniques. Image interpolation is one such technique. Interpolation technique determine the values of function at position lying between samples. The interpolation techniques are nearest neighbour, bilinear, bicubic interpolation. My work presents demosaicing using alternating projection with better performance with minimum loss of information than bilinear interpolation.\",\"PeriodicalId\":143099,\"journal\":{\"name\":\"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23883/ijrter.conf.20190304.004.pp6k5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23883/ijrter.conf.20190304.004.pp6k5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AN ENLARGEMENT AND REDUCTION OF DIGITAL IMAGES WITH MINIMUM LOSS OF INFORMATION
Color demosaicing is a key image processing step aiming to reconstruct the missing pixels from a recorded raw image. Without reconstruction the image is with a poor quality and produce strong visible artifacts. In current digital era, the image interpolation technique is based on multiresolution technique are being discovered and developed. The most important aspect of image processing is the ways in which the quality of an image is improved using various techniques. Image interpolation is one such technique. Interpolation technique determine the values of function at position lying between samples. The interpolation techniques are nearest neighbour, bilinear, bicubic interpolation. My work presents demosaicing using alternating projection with better performance with minimum loss of information than bilinear interpolation.