{"title":"针对GPU上JPEG2000标准的DWT“Daubechies 9/7”的MatLab加速","authors":"Randa Khemiri, F. Sayadi, Mohamed Atri, R. Tourki","doi":"10.1109/GSCIT.2014.6970112","DOIUrl":null,"url":null,"abstract":"Discrete wavelet transform (DWT) has diverse applications in signal and image processing fields. In this paper, we have implemented the lifting “Cohen-Daubechies-Feauveau 9/7” algorithm on a low cost NVIDIA's GPU (Graphics Processing Unit) with MatLab to achieve speedup in computation. The efficiency of our GPU based implementation is measured and compared with CPU based algorithms. Our investigational results with GPU show performance enhancement over a factor of 1.82 compared with CPU for an image of size 4096×4096 pixels.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MatLab acceleration for DWT “Daubechies 9/7” for JPEG2000 standard on GPU\",\"authors\":\"Randa Khemiri, F. Sayadi, Mohamed Atri, R. Tourki\",\"doi\":\"10.1109/GSCIT.2014.6970112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete wavelet transform (DWT) has diverse applications in signal and image processing fields. In this paper, we have implemented the lifting “Cohen-Daubechies-Feauveau 9/7” algorithm on a low cost NVIDIA's GPU (Graphics Processing Unit) with MatLab to achieve speedup in computation. The efficiency of our GPU based implementation is measured and compared with CPU based algorithms. Our investigational results with GPU show performance enhancement over a factor of 1.82 compared with CPU for an image of size 4096×4096 pixels.\",\"PeriodicalId\":270622,\"journal\":{\"name\":\"2014 Global Summit on Computer & Information Technology (GSCIT)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Global Summit on Computer & Information Technology (GSCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSCIT.2014.6970112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Global Summit on Computer & Information Technology (GSCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSCIT.2014.6970112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MatLab acceleration for DWT “Daubechies 9/7” for JPEG2000 standard on GPU
Discrete wavelet transform (DWT) has diverse applications in signal and image processing fields. In this paper, we have implemented the lifting “Cohen-Daubechies-Feauveau 9/7” algorithm on a low cost NVIDIA's GPU (Graphics Processing Unit) with MatLab to achieve speedup in computation. The efficiency of our GPU based implementation is measured and compared with CPU based algorithms. Our investigational results with GPU show performance enhancement over a factor of 1.82 compared with CPU for an image of size 4096×4096 pixels.
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