{"title":"Motion Estimation And Wavelet Transform In Angiogram Video Coding","authors":"Min-Jen Tsai, B. Ho, J.D. Vidlasenor","doi":"10.1109/NSSMIC.1993.701821","DOIUrl":null,"url":null,"abstract":"A b e t Angiogram video sequence compression based on the wavelet repmeatation and fast motion estimation is presented in this paper. The characteristic motion of andograms is investigated, leading to a statistical result that is analyzed for fast motion estimation in order to get good inkrframe prediction. Wavelet transform decomposes the video frame into a set of subframes in different resolutions corresponding to different frequency scales. Weighted scale and uniform scalar quantization are applied to the subband co,.ffizients acccdng to their perceptual importance to the “stmcted k.age. Arithmetic coding is also used to achieve high codiqg efficiency for either base frame or error frame. The proposed dgol“lt!m not only achieves low bit-rate coding but also mainL?ir: hi&! fidslity which is essential for medical images.","PeriodicalId":287813,"journal":{"name":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.1993.701821","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
A b e t Angiogram video sequence compression based on the wavelet repmeatation and fast motion estimation is presented in this paper. The characteristic motion of andograms is investigated, leading to a statistical result that is analyzed for fast motion estimation in order to get good inkrframe prediction. Wavelet transform decomposes the video frame into a set of subframes in different resolutions corresponding to different frequency scales. Weighted scale and uniform scalar quantization are applied to the subband co,.ffizients acccdng to their perceptual importance to the “stmcted k.age. Arithmetic coding is also used to achieve high codiqg efficiency for either base frame or error frame. The proposed dgol“lt!m not only achieves low bit-rate coding but also mainL?ir: hi&! fidslity which is essential for medical images.
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