{"title":"一种基于小波变换和二进制位置编码的嵌入式图像编解码器","authors":"Hongsheng Cai, G. Mirchandani","doi":"10.1109/ICIP.1996.560910","DOIUrl":null,"url":null,"abstract":"A new approach for an embedded image codec based on the wavelet transform (WT) and auto-adaptive block coding of binary position information is presented. The method, which treats sub-bands independently is simple and efficient. Experimental results show its performance to be close to that of the zero-tree codec even without further entropy coding. In addition, the codec is scalable with no corresponding implementation loss of coding efficiency.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A new embedded image codec based on the wavelet transform and binary position coding\",\"authors\":\"Hongsheng Cai, G. Mirchandani\",\"doi\":\"10.1109/ICIP.1996.560910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new approach for an embedded image codec based on the wavelet transform (WT) and auto-adaptive block coding of binary position information is presented. The method, which treats sub-bands independently is simple and efficient. Experimental results show its performance to be close to that of the zero-tree codec even without further entropy coding. In addition, the codec is scalable with no corresponding implementation loss of coding efficiency.\",\"PeriodicalId\":192947,\"journal\":{\"name\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.1996.560910\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1996.560910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new embedded image codec based on the wavelet transform and binary position coding
A new approach for an embedded image codec based on the wavelet transform (WT) and auto-adaptive block coding of binary position information is presented. The method, which treats sub-bands independently is simple and efficient. Experimental results show its performance to be close to that of the zero-tree codec even without further entropy coding. In addition, the codec is scalable with no corresponding implementation loss of coding efficiency.