{"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}
引用次数: 1
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.