{"title":"图像变焦的偏微分方程方法","authors":"Abdelmounim Belahmidi, F. Guichard","doi":"10.1109/ICIP.2004.1418838","DOIUrl":null,"url":null,"abstract":"We propose a new model for zooming digital images. This model, driven by a partial differential equation, performs a balance between a linear zoom on homogenous zones and an anisotropic diffusion based. zoom near edges. This allows the advantages of linear zoom models and of some nonlinear ones to be combined while leaving out their drawbacks.","PeriodicalId":184798,"journal":{"name":"2004 International Conference on Image Processing, 2004. ICIP '04.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"49","resultStr":"{\"title\":\"A partial differential equation approach to image zoom\",\"authors\":\"Abdelmounim Belahmidi, F. Guichard\",\"doi\":\"10.1109/ICIP.2004.1418838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new model for zooming digital images. This model, driven by a partial differential equation, performs a balance between a linear zoom on homogenous zones and an anisotropic diffusion based. zoom near edges. This allows the advantages of linear zoom models and of some nonlinear ones to be combined while leaving out their drawbacks.\",\"PeriodicalId\":184798,\"journal\":{\"name\":\"2004 International Conference on Image Processing, 2004. ICIP '04.\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"49\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 International Conference on Image Processing, 2004. ICIP '04.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2004.1418838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 International Conference on Image Processing, 2004. ICIP '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2004.1418838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A partial differential equation approach to image zoom
We propose a new model for zooming digital images. This model, driven by a partial differential equation, performs a balance between a linear zoom on homogenous zones and an anisotropic diffusion based. zoom near edges. This allows the advantages of linear zoom models and of some nonlinear ones to be combined while leaving out their drawbacks.