{"title":"Image classification for quality compression with wavelet filters based on image feature analysis","authors":"R. Tjahyadi, Wanquan Liu","doi":"10.1109/ICOSP.2002.1181207","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method to extract features from images that may be related to their compression capability with wavelet filters - their fidelity. Based on these features, images are classified into three different classes corresponding to their fidelity: low, medium and high. We have found this classification schema is effective and can be used as a guideline for selecting wavelet filter for the images in the low fidelity class.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"331 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1181207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this paper, we propose a method to extract features from images that may be related to their compression capability with wavelet filters - their fidelity. Based on these features, images are classified into three different classes corresponding to their fidelity: low, medium and high. We have found this classification schema is effective and can be used as a guideline for selecting wavelet filter for the images in the low fidelity class.
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