Bertrand Ledoux Ebassa Eloundou, Aimé Joseph Oyobe Okassa, Hervé Ndongo Abena, P. Ele
{"title":"Compression of medical images by quaternionic wavelet transform","authors":"Bertrand Ledoux Ebassa Eloundou, Aimé Joseph Oyobe Okassa, Hervé Ndongo Abena, P. Ele","doi":"10.14419/ijet.v10i2.31524","DOIUrl":null,"url":null,"abstract":"Technological developments for several years have resulted in the handling (storing, exchanging or processing) of increasingly important data in various fields and particularly in medical field. In this works we present a new image compression / decompression algorithm based on the quaternion wavelet transform (QWT). This algorithm is simple, fast and efficient. It has been applied to medical images. The results obtained after decompression are appreciated through the compression parameter values of CR, PSNR, and MSE and by visual observation. By the values of these parameters, the results of the algorithm are considered encouraging. ","PeriodicalId":40905,"journal":{"name":"EMITTER-International Journal of Engineering Technology","volume":"54 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EMITTER-International Journal of Engineering Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14419/ijet.v10i2.31524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Technological developments for several years have resulted in the handling (storing, exchanging or processing) of increasingly important data in various fields and particularly in medical field. In this works we present a new image compression / decompression algorithm based on the quaternion wavelet transform (QWT). This algorithm is simple, fast and efficient. It has been applied to medical images. The results obtained after decompression are appreciated through the compression parameter values of CR, PSNR, and MSE and by visual observation. By the values of these parameters, the results of the algorithm are considered encouraging.