{"title":"基于小波变换和分层非线性预测的混合无损图像压缩","authors":"Rana Talib Al-Timimi","doi":"10.23851/MJS.V28I2.510","DOIUrl":null,"url":null,"abstract":"This paper introduces a promising hybrid lossless image compression method by combining the wavelet transform along with a hierarchal non-linear polynomial approximation model to com-press natural and medical images. The test results showed good performance in which the compression ratio is improved about three times or more on average in compered with the results of a non-linear coding system that does not adopt the techniques used in this research.","PeriodicalId":7515,"journal":{"name":"Al-Mustansiriyah Journal of Sciences","volume":"108 1","pages":"150-155"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Hybrid Lossless Image Compression Using Wavelet Trans-form and Hierarchical non Linear Prediction\",\"authors\":\"Rana Talib Al-Timimi\",\"doi\":\"10.23851/MJS.V28I2.510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a promising hybrid lossless image compression method by combining the wavelet transform along with a hierarchal non-linear polynomial approximation model to com-press natural and medical images. The test results showed good performance in which the compression ratio is improved about three times or more on average in compered with the results of a non-linear coding system that does not adopt the techniques used in this research.\",\"PeriodicalId\":7515,\"journal\":{\"name\":\"Al-Mustansiriyah Journal of Sciences\",\"volume\":\"108 1\",\"pages\":\"150-155\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Al-Mustansiriyah Journal of Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23851/MJS.V28I2.510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Al-Mustansiriyah Journal of Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23851/MJS.V28I2.510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid Lossless Image Compression Using Wavelet Trans-form and Hierarchical non Linear Prediction
This paper introduces a promising hybrid lossless image compression method by combining the wavelet transform along with a hierarchal non-linear polynomial approximation model to com-press natural and medical images. The test results showed good performance in which the compression ratio is improved about three times or more on average in compered with the results of a non-linear coding system that does not adopt the techniques used in this research.
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