{"title":"用于图像处理和卷积神经网络的傅里叶光学协处理器","authors":"M. Miscuglio, Zibo Hu, J. George, V. Sorger","doi":"10.1109/RAPID.2019.8864354","DOIUrl":null,"url":null,"abstract":"Convolution Neural Networks (CNN) are artificial networks able to extract features from large dataset by spatial filtering. Here we propose an optical coprocessor able to perform large image Altering and convolutions, outperforming current architectures.","PeriodicalId":143675,"journal":{"name":"2019 IEEE Research and Applications of Photonics in Defense Conference (RAPID)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fourier Optics Coprocessor for Image Processing and Convolutional Neural Network\",\"authors\":\"M. Miscuglio, Zibo Hu, J. George, V. Sorger\",\"doi\":\"10.1109/RAPID.2019.8864354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Convolution Neural Networks (CNN) are artificial networks able to extract features from large dataset by spatial filtering. Here we propose an optical coprocessor able to perform large image Altering and convolutions, outperforming current architectures.\",\"PeriodicalId\":143675,\"journal\":{\"name\":\"2019 IEEE Research and Applications of Photonics in Defense Conference (RAPID)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Research and Applications of Photonics in Defense Conference (RAPID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAPID.2019.8864354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Research and Applications of Photonics in Defense Conference (RAPID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAPID.2019.8864354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fourier Optics Coprocessor for Image Processing and Convolutional Neural Network
Convolution Neural Networks (CNN) are artificial networks able to extract features from large dataset by spatial filtering. Here we propose an optical coprocessor able to perform large image Altering and convolutions, outperforming current architectures.
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