{"title":"彩色图像的各向异性网格表示","authors":"Xianping Li","doi":"10.1109/ICIVC50857.2020.9177477","DOIUrl":null,"url":null,"abstract":"Triangular meshes have become popular in image representation and have been widely used in image processing to improve computational efficiency and accuracy. This paper introduces anisotropic mesh adaptation (AMA) to represent color images with fewer points while keeping good quality. Finite element interpolation is used in the image reconstruction from the triangular mesh-based representation. A few methods are proposed to deal with the different color channels for representation purpose. Experimental results for various images show that single triangular mesh can represent the color image as good as three-mesh representation and the differences are not significant.","PeriodicalId":6806,"journal":{"name":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","volume":"43 1","pages":"139-143"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Anisotropic Mesh Representation for Color Images\",\"authors\":\"Xianping Li\",\"doi\":\"10.1109/ICIVC50857.2020.9177477\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Triangular meshes have become popular in image representation and have been widely used in image processing to improve computational efficiency and accuracy. This paper introduces anisotropic mesh adaptation (AMA) to represent color images with fewer points while keeping good quality. Finite element interpolation is used in the image reconstruction from the triangular mesh-based representation. A few methods are proposed to deal with the different color channels for representation purpose. Experimental results for various images show that single triangular mesh can represent the color image as good as three-mesh representation and the differences are not significant.\",\"PeriodicalId\":6806,\"journal\":{\"name\":\"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)\",\"volume\":\"43 1\",\"pages\":\"139-143\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIVC50857.2020.9177477\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIVC50857.2020.9177477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Triangular meshes have become popular in image representation and have been widely used in image processing to improve computational efficiency and accuracy. This paper introduces anisotropic mesh adaptation (AMA) to represent color images with fewer points while keeping good quality. Finite element interpolation is used in the image reconstruction from the triangular mesh-based representation. A few methods are proposed to deal with the different color channels for representation purpose. Experimental results for various images show that single triangular mesh can represent the color image as good as three-mesh representation and the differences are not significant.
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