{"title":"用于多分辨率图像处理的多速率卷积的实际实现","authors":"B. A. Thomas, J.J. Rodriguez","doi":"10.1109/IAI.1998.666888","DOIUrl":null,"url":null,"abstract":"This paper describes key issues associated with the computation of undecimated multiresolution signal decompositions. An effective solution is obtained by a general-purpose convolution programming model that automatically accounts for filter origin displacement and the sparse nature of upsampled filters. The handling of image boundaries during convolution is also discussed in detail.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical implementation of multirate convolution for multiresolution image processing\",\"authors\":\"B. A. Thomas, J.J. Rodriguez\",\"doi\":\"10.1109/IAI.1998.666888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes key issues associated with the computation of undecimated multiresolution signal decompositions. An effective solution is obtained by a general-purpose convolution programming model that automatically accounts for filter origin displacement and the sparse nature of upsampled filters. The handling of image boundaries during convolution is also discussed in detail.\",\"PeriodicalId\":373701,\"journal\":{\"name\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"volume\":\"183 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI.1998.666888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.1998.666888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Practical implementation of multirate convolution for multiresolution image processing
This paper describes key issues associated with the computation of undecimated multiresolution signal decompositions. An effective solution is obtained by a general-purpose convolution programming model that automatically accounts for filter origin displacement and the sparse nature of upsampled filters. The handling of image boundaries during convolution is also discussed in detail.