{"title":"多焦点图像融合的并行方法","authors":"S. Bejinariu, F. Rotaru, C. Nita, R. Luca","doi":"10.1109/ISSCS.2013.6651212","DOIUrl":null,"url":null,"abstract":"A parallel approach of multifocus image fusion is proposed. Most of parallelization techniques for image processing and image fusion presented in literature are based on the use of graphic processor (GPU) computing power or the message passing interface (MPI) paradigm. Quite a few are exploiting the capabilities offered by the multi-core processors. This paper presents two parallelized methods for multifocus image fusion. The first one is based on the spatial frequency evaluation at pixel level and the second uses the morphological wavelet decomposition. An efficiency evaluation is presented for the case of implementation on multi-core processors.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Parallel approach for multifocus image fusion\",\"authors\":\"S. Bejinariu, F. Rotaru, C. Nita, R. Luca\",\"doi\":\"10.1109/ISSCS.2013.6651212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A parallel approach of multifocus image fusion is proposed. Most of parallelization techniques for image processing and image fusion presented in literature are based on the use of graphic processor (GPU) computing power or the message passing interface (MPI) paradigm. Quite a few are exploiting the capabilities offered by the multi-core processors. This paper presents two parallelized methods for multifocus image fusion. The first one is based on the spatial frequency evaluation at pixel level and the second uses the morphological wavelet decomposition. An efficiency evaluation is presented for the case of implementation on multi-core processors.\",\"PeriodicalId\":260263,\"journal\":{\"name\":\"International Symposium on Signals, Circuits and Systems ISSCS2013\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Signals, Circuits and Systems ISSCS2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2013.6651212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Signals, Circuits and Systems ISSCS2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2013.6651212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel approach of multifocus image fusion is proposed. Most of parallelization techniques for image processing and image fusion presented in literature are based on the use of graphic processor (GPU) computing power or the message passing interface (MPI) paradigm. Quite a few are exploiting the capabilities offered by the multi-core processors. This paper presents two parallelized methods for multifocus image fusion. The first one is based on the spatial frequency evaluation at pixel level and the second uses the morphological wavelet decomposition. An efficiency evaluation is presented for the case of implementation on multi-core processors.
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