M. Patlayenko, O. Osharovska, V. Pyliavskyi, V. Solodka
{"title":"图像压缩的小波特征族","authors":"M. Patlayenko, O. Osharovska, V. Pyliavskyi, V. Solodka","doi":"10.1109/TELECOM48729.2019.8994877","DOIUrl":null,"url":null,"abstract":"The article contains the results of experimental studies on compression of high and ultra-high definition images by families of wavelet functions. The dependences of the compression coefficients for the Daubechi, Haar, Coifleti, Meyer and biorthogonal wavelets are obtained. It is shown that wavelet functions allow more flexible control of the bit stream compared to a discrete cosine transform taking into account the detail of the images.","PeriodicalId":127549,"journal":{"name":"2019 27th National Conference with International Participation (TELECOM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wavelet Feature Family for Image Compression\",\"authors\":\"M. Patlayenko, O. Osharovska, V. Pyliavskyi, V. Solodka\",\"doi\":\"10.1109/TELECOM48729.2019.8994877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article contains the results of experimental studies on compression of high and ultra-high definition images by families of wavelet functions. The dependences of the compression coefficients for the Daubechi, Haar, Coifleti, Meyer and biorthogonal wavelets are obtained. It is shown that wavelet functions allow more flexible control of the bit stream compared to a discrete cosine transform taking into account the detail of the images.\",\"PeriodicalId\":127549,\"journal\":{\"name\":\"2019 27th National Conference with International Participation (TELECOM)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 27th National Conference with International Participation (TELECOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELECOM48729.2019.8994877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 27th National Conference with International Participation (TELECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELECOM48729.2019.8994877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The article contains the results of experimental studies on compression of high and ultra-high definition images by families of wavelet functions. The dependences of the compression coefficients for the Daubechi, Haar, Coifleti, Meyer and biorthogonal wavelets are obtained. It is shown that wavelet functions allow more flexible control of the bit stream compared to a discrete cosine transform taking into account the detail of the images.
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