{"title":"联合空间和二维频率局域滤波器组","authors":"P. Tay, Yanjun Yan","doi":"10.1109/SSIAI.2018.8470386","DOIUrl":null,"url":null,"abstract":"This paper proposes a conjointly space-frequency well localized separable 2D filters. The separable 2D filterbanks constitute a perfect or near perfect reconstruction system. The novel space-frequency localization measure to determine optimality is the product of a filter’s 2D variance in space and 2D frequency variance. The particle swarm optimization method is efficiently applied to determine perfect or near perfect reconstruction optimal 2D filterbanks.","PeriodicalId":422209,"journal":{"name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conjointly Space and 2D Frequency Localized Filterbanks\",\"authors\":\"P. Tay, Yanjun Yan\",\"doi\":\"10.1109/SSIAI.2018.8470386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a conjointly space-frequency well localized separable 2D filters. The separable 2D filterbanks constitute a perfect or near perfect reconstruction system. The novel space-frequency localization measure to determine optimality is the product of a filter’s 2D variance in space and 2D frequency variance. The particle swarm optimization method is efficiently applied to determine perfect or near perfect reconstruction optimal 2D filterbanks.\",\"PeriodicalId\":422209,\"journal\":{\"name\":\"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSIAI.2018.8470386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSIAI.2018.8470386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conjointly Space and 2D Frequency Localized Filterbanks
This paper proposes a conjointly space-frequency well localized separable 2D filters. The separable 2D filterbanks constitute a perfect or near perfect reconstruction system. The novel space-frequency localization measure to determine optimality is the product of a filter’s 2D variance in space and 2D frequency variance. The particle swarm optimization method is efficiently applied to determine perfect or near perfect reconstruction optimal 2D filterbanks.
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