{"title":"正交U变换及其在图像压缩中的应用","authors":"Fenhong Guo, Changzhen Xiong","doi":"10.1109/ICICISYS.2010.5658270","DOIUrl":null,"url":null,"abstract":"In this paper, a new unitary transform called U transform is constructed in recursion way. The U transform matrix contains piecewise constant basis vectors, piecewise linear basis vectors and piecewise second order polynomial basis vectors, and therefore U transform is a generalization of Walsh transform and Slant transform. A fast computational algorithm has been found for the transformation. The U transform is applied to digital image compression with quantization table based on Human Visual System (HVS). The experimental results indicate that U transform outperforms Slant transform in image compression.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"160 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Orthogonal U transform and its application in image compression\",\"authors\":\"Fenhong Guo, Changzhen Xiong\",\"doi\":\"10.1109/ICICISYS.2010.5658270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new unitary transform called U transform is constructed in recursion way. The U transform matrix contains piecewise constant basis vectors, piecewise linear basis vectors and piecewise second order polynomial basis vectors, and therefore U transform is a generalization of Walsh transform and Slant transform. A fast computational algorithm has been found for the transformation. The U transform is applied to digital image compression with quantization table based on Human Visual System (HVS). The experimental results indicate that U transform outperforms Slant transform in image compression.\",\"PeriodicalId\":339711,\"journal\":{\"name\":\"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"volume\":\"160 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICISYS.2010.5658270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2010.5658270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Orthogonal U transform and its application in image compression
In this paper, a new unitary transform called U transform is constructed in recursion way. The U transform matrix contains piecewise constant basis vectors, piecewise linear basis vectors and piecewise second order polynomial basis vectors, and therefore U transform is a generalization of Walsh transform and Slant transform. A fast computational algorithm has been found for the transformation. The U transform is applied to digital image compression with quantization table based on Human Visual System (HVS). The experimental results indicate that U transform outperforms Slant transform in image compression.