{"title":"Spectral transforms for the high definitions television images","authors":"M. Patlaenko, O. Osharovska, N. Samus, V. Solodka","doi":"10.1109/UKRMICO.2016.7739598","DOIUrl":null,"url":null,"abstract":"This article provides justification for the choice of spectral transforms high-definition television images. Comparing of compression ratios carried out for several classes of families of wavelet transform. In this work it was evaluated the range of required compression ratios. The highest compression ratio provides symmetrical biorthogonal wavelets, but they have a large variance. The peak signal to noise ratio selected as an objective criterion of the quality of the restored after the forward and reverse spectral image conversion. For a given compression ratio against the greatest signal to noise ratio provide biorthogonal wavelets, but this coefficient varies according to the structure from the image. The visual image quality at the same signal-to-noise ratio is different.","PeriodicalId":257266,"journal":{"name":"2016 International Conference Radio Electronics & Info Communications (UkrMiCo)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference Radio Electronics & Info Communications (UkrMiCo)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKRMICO.2016.7739598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article provides justification for the choice of spectral transforms high-definition television images. Comparing of compression ratios carried out for several classes of families of wavelet transform. In this work it was evaluated the range of required compression ratios. The highest compression ratio provides symmetrical biorthogonal wavelets, but they have a large variance. The peak signal to noise ratio selected as an objective criterion of the quality of the restored after the forward and reverse spectral image conversion. For a given compression ratio against the greatest signal to noise ratio provide biorthogonal wavelets, but this coefficient varies according to the structure from the image. The visual image quality at the same signal-to-noise ratio is different.