{"title":"小波变换在软图像处理中的应用","authors":"I. Shakirov","doi":"10.1109/SPCMTT.2000.896073","DOIUrl":null,"url":null,"abstract":"The main difference between a wavelet-transform (WT) and a Fourier transform is a more informative representation of time-, frequency-, scale- and time-properties of an image. The capacity of a WT of image analysis performing with equal scales is often compared with a mathematical microscope. The WT can successfully be applied to the problem of solving image processing although it is still insufficiently widely known for this purpose.","PeriodicalId":421846,"journal":{"name":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of wavelet-transformation for soft image processing\",\"authors\":\"I. Shakirov\",\"doi\":\"10.1109/SPCMTT.2000.896073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main difference between a wavelet-transform (WT) and a Fourier transform is a more informative representation of time-, frequency-, scale- and time-properties of an image. The capacity of a WT of image analysis performing with equal scales is often compared with a mathematical microscope. The WT can successfully be applied to the problem of solving image processing although it is still insufficiently widely known for this purpose.\",\"PeriodicalId\":421846,\"journal\":{\"name\":\"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPCMTT.2000.896073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPCMTT.2000.896073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of wavelet-transformation for soft image processing
The main difference between a wavelet-transform (WT) and a Fourier transform is a more informative representation of time-, frequency-, scale- and time-properties of an image. The capacity of a WT of image analysis performing with equal scales is often compared with a mathematical microscope. The WT can successfully be applied to the problem of solving image processing although it is still insufficiently widely known for this purpose.