{"title":"基于gpu卡的sobel滤波器的高效实现","authors":"Mouna Afif, Yahia Said, Haythem Bahri, Mohamed Atri","doi":"10.1109/IPAS.2016.7880126","DOIUrl":null,"url":null,"abstract":"The Graphics processors or GPUs have become in a few years powerful tools for applications that require a massively parallel computing. Currently include the applications in multimedia processing, the engineering science and image processing in real time. They offer many advantages such as acceleration of treatment and down energy consumption from an equivalent CPU power. In this paper, we will show the effectiveness of our approach sobel filter (features extraction) by parallelizing the processing applied to different images with different sizes.","PeriodicalId":283737,"journal":{"name":"2016 International Image Processing, Applications and Systems (IPAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Efficient implementation of sobel filter based on GPUs cards\",\"authors\":\"Mouna Afif, Yahia Said, Haythem Bahri, Mohamed Atri\",\"doi\":\"10.1109/IPAS.2016.7880126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Graphics processors or GPUs have become in a few years powerful tools for applications that require a massively parallel computing. Currently include the applications in multimedia processing, the engineering science and image processing in real time. They offer many advantages such as acceleration of treatment and down energy consumption from an equivalent CPU power. In this paper, we will show the effectiveness of our approach sobel filter (features extraction) by parallelizing the processing applied to different images with different sizes.\",\"PeriodicalId\":283737,\"journal\":{\"name\":\"2016 International Image Processing, Applications and Systems (IPAS)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Image Processing, Applications and Systems (IPAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPAS.2016.7880126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Image Processing, Applications and Systems (IPAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPAS.2016.7880126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient implementation of sobel filter based on GPUs cards
The Graphics processors or GPUs have become in a few years powerful tools for applications that require a massively parallel computing. Currently include the applications in multimedia processing, the engineering science and image processing in real time. They offer many advantages such as acceleration of treatment and down energy consumption from an equivalent CPU power. In this paper, we will show the effectiveness of our approach sobel filter (features extraction) by parallelizing the processing applied to different images with different sizes.
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