{"title":"An Efficient Codec for Image Compression Based on Spline Wavelet Transform and Improved SPIHT Algorithm","authors":"Rania Boujelbene, Y. Jemaa, M. Zribi","doi":"10.1109/HPCS.2017.124","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient codec which is based on an optimal spline wavelet transform and an improved Set Partitioning in Hierarchical Trees algorithm. A comparative study of the proposed codec with the existing works using the polynomial spline based transform and the biorthogonal B9/7 which is frequently used in image compression is done. Peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM) and encoding time are used for evaluation purpose. The obtained results prove the efficiency and the speed of the proposed codec.","PeriodicalId":115758,"journal":{"name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCS.2017.124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents an efficient codec which is based on an optimal spline wavelet transform and an improved Set Partitioning in Hierarchical Trees algorithm. A comparative study of the proposed codec with the existing works using the polynomial spline based transform and the biorthogonal B9/7 which is frequently used in image compression is done. Peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM) and encoding time are used for evaluation purpose. The obtained results prove the efficiency and the speed of the proposed codec.