{"title":"用二维傅里叶变换分析一些二维函数:图像重建和物理意义","authors":"G. K. Jagatheswari, G. Honnavar, M. R","doi":"10.1109/ICCCT2.2017.7972295","DOIUrl":null,"url":null,"abstract":"The Fourier transform can be thought of being the decomposition of the image into two dimensional spatial sinusoidal frequency components. Two dimensional Gaussian, Rectangular (Rect) and Circular (Circ) functions were created using two dimensional Fourier series and transform approximations. The Fourier domain or frequency domain represents a point of a particular frequency contained in the spatial domain image. Here the spectrum of two dimensional basic signals (including images) is analyzed from the point of view of diffraction patterns.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Analysis of some two dimensional functions using two dimensional Fourier transforms: Image reconstruction and physical significance\",\"authors\":\"G. K. Jagatheswari, G. Honnavar, M. R\",\"doi\":\"10.1109/ICCCT2.2017.7972295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Fourier transform can be thought of being the decomposition of the image into two dimensional spatial sinusoidal frequency components. Two dimensional Gaussian, Rectangular (Rect) and Circular (Circ) functions were created using two dimensional Fourier series and transform approximations. The Fourier domain or frequency domain represents a point of a particular frequency contained in the spatial domain image. Here the spectrum of two dimensional basic signals (including images) is analyzed from the point of view of diffraction patterns.\",\"PeriodicalId\":445567,\"journal\":{\"name\":\"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCT2.2017.7972295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT2.2017.7972295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of some two dimensional functions using two dimensional Fourier transforms: Image reconstruction and physical significance
The Fourier transform can be thought of being the decomposition of the image into two dimensional spatial sinusoidal frequency components. Two dimensional Gaussian, Rectangular (Rect) and Circular (Circ) functions were created using two dimensional Fourier series and transform approximations. The Fourier domain or frequency domain represents a point of a particular frequency contained in the spatial domain image. Here the spectrum of two dimensional basic signals (including images) is analyzed from the point of view of diffraction patterns.