{"title":"5/3和9/7小波滤波器在一个子带图像编码研究","authors":"W. Hassen, H. Amiri","doi":"10.1109/ICELIE.2013.6701290","DOIUrl":null,"url":null,"abstract":"The object of image compression is to minimize redundant information. This redundancy is due to correlation between adjacent pixels in a digital image. Different approaches with variable efficacies deal with this type of redundancy; the decomposition into sub-bands either through discrete cosine transforms or through discrete wavelet transforms is generally used. In this work, we are interested in spatial sub-bands coding with wavelet decomposition and we present in this context a comparative study between 5/3 and 9/7 wavelet filters and the variation of the decoded image quality depending on the level of wavelet decomposition. We support our study by objective and subjective quality assessments.","PeriodicalId":294540,"journal":{"name":"2013 7th IEEE International Conference on e-Learning in Industrial Electronics (ICELIE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The 5/3 and 9/7 wavelet filters study in a sub-bands image coding\",\"authors\":\"W. Hassen, H. Amiri\",\"doi\":\"10.1109/ICELIE.2013.6701290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The object of image compression is to minimize redundant information. This redundancy is due to correlation between adjacent pixels in a digital image. Different approaches with variable efficacies deal with this type of redundancy; the decomposition into sub-bands either through discrete cosine transforms or through discrete wavelet transforms is generally used. In this work, we are interested in spatial sub-bands coding with wavelet decomposition and we present in this context a comparative study between 5/3 and 9/7 wavelet filters and the variation of the decoded image quality depending on the level of wavelet decomposition. We support our study by objective and subjective quality assessments.\",\"PeriodicalId\":294540,\"journal\":{\"name\":\"2013 7th IEEE International Conference on e-Learning in Industrial Electronics (ICELIE)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 7th IEEE International Conference on e-Learning in Industrial Electronics (ICELIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICELIE.2013.6701290\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 7th IEEE International Conference on e-Learning in Industrial Electronics (ICELIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELIE.2013.6701290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The 5/3 and 9/7 wavelet filters study in a sub-bands image coding
The object of image compression is to minimize redundant information. This redundancy is due to correlation between adjacent pixels in a digital image. Different approaches with variable efficacies deal with this type of redundancy; the decomposition into sub-bands either through discrete cosine transforms or through discrete wavelet transforms is generally used. In this work, we are interested in spatial sub-bands coding with wavelet decomposition and we present in this context a comparative study between 5/3 and 9/7 wavelet filters and the variation of the decoded image quality depending on the level of wavelet decomposition. We support our study by objective and subjective quality assessments.