{"title":"具有对称扩展的平移不变小波变换","authors":"J. Liang, T. Parks","doi":"10.1109/DSPWS.1996.555462","DOIUrl":null,"url":null,"abstract":"We introduce a new translation invariant wavelet transform algorithm with symmetric extensions that has the following desirable properties: (1) translation invariance, (2) reduced edge effects, and (3) size-limitedness. We demonstrate the improvement gained by this new algorithm with both a synthetic example and coding results using a standard test image. We combine our previous work on translation invariant wavelet transform algorithm with circular extensions with work on size-limited filter banks.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Translation invariant wavelet transforms with symmetric extensions\",\"authors\":\"J. Liang, T. Parks\",\"doi\":\"10.1109/DSPWS.1996.555462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a new translation invariant wavelet transform algorithm with symmetric extensions that has the following desirable properties: (1) translation invariance, (2) reduced edge effects, and (3) size-limitedness. We demonstrate the improvement gained by this new algorithm with both a synthetic example and coding results using a standard test image. We combine our previous work on translation invariant wavelet transform algorithm with circular extensions with work on size-limited filter banks.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555462\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Translation invariant wavelet transforms with symmetric extensions
We introduce a new translation invariant wavelet transform algorithm with symmetric extensions that has the following desirable properties: (1) translation invariance, (2) reduced edge effects, and (3) size-limitedness. We demonstrate the improvement gained by this new algorithm with both a synthetic example and coding results using a standard test image. We combine our previous work on translation invariant wavelet transform algorithm with circular extensions with work on size-limited filter banks.