{"title":"基于基线非分割方法的分割图像小波压缩","authors":"R. Vargic, J. Prochaska","doi":"10.1109/ICIT.2003.1290789","DOIUrl":null,"url":null,"abstract":"We present an approach to compression of segmented images using wavelet transform followed by modified baseline coder. Baseline coder processes the spectral values from all segments in non-segmented style, i.e. together in one big block. Proposed scheme has comparative results as existing methods and retains its effectivity as the number of image segments increases.","PeriodicalId":193510,"journal":{"name":"IEEE International Conference on Industrial Technology, 2003","volume":"57 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wavelet based compression of segmented images using baseline non-segmented approach\",\"authors\":\"R. Vargic, J. Prochaska\",\"doi\":\"10.1109/ICIT.2003.1290789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an approach to compression of segmented images using wavelet transform followed by modified baseline coder. Baseline coder processes the spectral values from all segments in non-segmented style, i.e. together in one big block. Proposed scheme has comparative results as existing methods and retains its effectivity as the number of image segments increases.\",\"PeriodicalId\":193510,\"journal\":{\"name\":\"IEEE International Conference on Industrial Technology, 2003\",\"volume\":\"57 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Industrial Technology, 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2003.1290789\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Industrial Technology, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2003.1290789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet based compression of segmented images using baseline non-segmented approach
We present an approach to compression of segmented images using wavelet transform followed by modified baseline coder. Baseline coder processes the spectral values from all segments in non-segmented style, i.e. together in one big block. Proposed scheme has comparative results as existing methods and retains its effectivity as the number of image segments increases.