A. Hasebe, J. Yonemitsu, R. Kato, N. Ito, H. Fujita
{"title":"Architecture of SIPS, a real time image processing system","authors":"A. Hasebe, J. Yonemitsu, R. Kato, N. Ito, H. Fujita","doi":"10.1109/ARRAYS.1988.18099","DOIUrl":null,"url":null,"abstract":"A real-time image processing system called SIPS (Sight Information Processing System) has been designed and constructed. SIPS realizes a high-speed performance of 2.7 Giga operations/s through parallel and distributed processing of its 82 independently controlled processors. SIPS provides both real-time processing of color video images and a high degree of flexibility. SIPS became operational in 1985 and has been used for research on video image processing such as low-level vision processing and image coding. The architectures and possible applications of SIPS are presented.<<ETX>>","PeriodicalId":339807,"journal":{"name":"[1988] Proceedings. International Conference on Systolic Arrays","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings. International Conference on Systolic Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARRAYS.1988.18099","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
A real-time image processing system called SIPS (Sight Information Processing System) has been designed and constructed. SIPS realizes a high-speed performance of 2.7 Giga operations/s through parallel and distributed processing of its 82 independently controlled processors. SIPS provides both real-time processing of color video images and a high degree of flexibility. SIPS became operational in 1985 and has been used for research on video image processing such as low-level vision processing and image coding. The architectures and possible applications of SIPS are presented.<>
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