{"title":"灰度图像的样条近似可扩展图像编码","authors":"R. Haruki, T. Horiuchi","doi":"10.1109/ICDAR.1997.619879","DOIUrl":null,"url":null,"abstract":"The proposed method expresses a gray-scale image by parametric spline functions for edge components and by two-variable spline functions for low frequency components. It can reconstruct the image keeping its quality for the basic shape transformation. If a binary image is input as a special case, the proposed method can make a scalable vector font automatically. The performance of the proposed method is verified by some experiments.","PeriodicalId":435320,"journal":{"name":"Proceedings of the Fourth International Conference on Document Analysis and Recognition","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Scalable image coding by spline approximation for a gray-scale image\",\"authors\":\"R. Haruki, T. Horiuchi\",\"doi\":\"10.1109/ICDAR.1997.619879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed method expresses a gray-scale image by parametric spline functions for edge components and by two-variable spline functions for low frequency components. It can reconstruct the image keeping its quality for the basic shape transformation. If a binary image is input as a special case, the proposed method can make a scalable vector font automatically. The performance of the proposed method is verified by some experiments.\",\"PeriodicalId\":435320,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.1997.619879\",\"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 Fourth International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.1997.619879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scalable image coding by spline approximation for a gray-scale image
The proposed method expresses a gray-scale image by parametric spline functions for edge components and by two-variable spline functions for low frequency components. It can reconstruct the image keeping its quality for the basic shape transformation. If a binary image is input as a special case, the proposed method can make a scalable vector font automatically. The performance of the proposed method is verified by some experiments.
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