{"title":"利用多子带整数小波分解实现高效的图像编码","authors":"Li-bao Zhang, Xianchuan Yu","doi":"10.1109/ISPACS.2007.4445910","DOIUrl":null,"url":null,"abstract":"Integer wavelet transform (IWT) and IWT-based image coding offer many advantages over traditional wavelet. But coefficient magnitudes of the IWT-image have smaller dynamic change value and worse energy compaction than the first generation wavelet. Those reduce efficiency of IWT-based coding. In this paper, we present a new still image coder based on multiple subbands decomposition and IWT (integer wavelet transform). These high frequency subbands with the higher entropy can be decomposed secondly. Experimental results show that the lossy performance of the new coder is quite competitive with other efficient lossy compression methods.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An efficient image coding using multiple subbands integer wavelet decomposition\",\"authors\":\"Li-bao Zhang, Xianchuan Yu\",\"doi\":\"10.1109/ISPACS.2007.4445910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integer wavelet transform (IWT) and IWT-based image coding offer many advantages over traditional wavelet. But coefficient magnitudes of the IWT-image have smaller dynamic change value and worse energy compaction than the first generation wavelet. Those reduce efficiency of IWT-based coding. In this paper, we present a new still image coder based on multiple subbands decomposition and IWT (integer wavelet transform). These high frequency subbands with the higher entropy can be decomposed secondly. Experimental results show that the lossy performance of the new coder is quite competitive with other efficient lossy compression methods.\",\"PeriodicalId\":220276,\"journal\":{\"name\":\"2007 International Symposium on Intelligent Signal Processing and Communication Systems\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Intelligent Signal Processing and Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2007.4445910\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2007.4445910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient image coding using multiple subbands integer wavelet decomposition
Integer wavelet transform (IWT) and IWT-based image coding offer many advantages over traditional wavelet. But coefficient magnitudes of the IWT-image have smaller dynamic change value and worse energy compaction than the first generation wavelet. Those reduce efficiency of IWT-based coding. In this paper, we present a new still image coder based on multiple subbands decomposition and IWT (integer wavelet transform). These high frequency subbands with the higher entropy can be decomposed secondly. Experimental results show that the lossy performance of the new coder is quite competitive with other efficient lossy compression methods.