K. F. Ackermann, Burghard Hoffmann, L. Indrusiak, M. Glesner
{"title":"Enabling self-reconfiguration on a video processing platform","authors":"K. F. Ackermann, Burghard Hoffmann, L. Indrusiak, M. Glesner","doi":"10.1109/SIES.2008.4577676","DOIUrl":null,"url":null,"abstract":"FPGA implementations of complex image processing algorithms are often limited in flexibility and by the amount of available chip resources. This article presents a hardware design of an adaptive self-reconfigurable video processing platform. Dynamic self-reconfiguration increases a designpsilas flexibility and enables the use of FPGAs with a fraction of resources actually needed by the algorithm. As a case study two implementation approaches of a complex frame-grabber with a set of dynamically reconfigurable kernels are evaluated and further improvements are outlined.","PeriodicalId":438401,"journal":{"name":"2008 International Symposium on Industrial Embedded Systems","volume":"151 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Industrial Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2008.4577676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
FPGA implementations of complex image processing algorithms are often limited in flexibility and by the amount of available chip resources. This article presents a hardware design of an adaptive self-reconfigurable video processing platform. Dynamic self-reconfiguration increases a designpsilas flexibility and enables the use of FPGAs with a fraction of resources actually needed by the algorithm. As a case study two implementation approaches of a complex frame-grabber with a set of dynamically reconfigurable kernels are evaluated and further improvements are outlined.