Publication:
Rapid design of real-time image fusion on FPGA using HLS and other techniques

dc.contributor.authorAydın, Furkan
dc.contributor.authorUğurdağ, Hasan Fatih
dc.contributor.authorLevent, Vecdi Emre
dc.contributor.authorGüzel, Aydın Emre
dc.contributor.authorAnnafianto, Nur Fajar Rızqı
dc.contributor.authorÖzkan, M. A.
dc.contributor.authorAkgun, T.
dc.contributor.authorErbas, C.
dc.contributor.departmentElectrical & Electronics Engineering
dc.contributor.ozuauthorUĞURDAĞ, Hasan Fatih
dc.contributor.ozugradstudentAydın, Furkan
dc.contributor.ozugradstudentLevent, Vecdi Emre
dc.contributor.ozugradstudentGüzel, Aydın Emre
dc.contributor.ozugradstudentAnnafianto, Nur Fajar Rızqı
dc.date.accessioned2020-06-11T16:25:35Z
dc.date.available2020-06-11T16:25:35Z
dc.date.issued2018
dc.description.abstractDuring the process of implementing a parameterized hardware IP generator for an image fusion algorithm, we had a chance to test various tools and techniques such as HLS, pipelining, and PCIe logic/software porting, which we developed in a previous design project. Image fusion combines two or more images through a color transformation process. Depending on the application, different fps and/or resolution may be needed. Yet the specifics of the image-processing algorithm may frequently change causing redesign. If the target platform is FPGA, usually rapid yet optimized hardware implementation is required. All these requirements cannot be met only by HLS. Clever approaches in terms of architectural techniques such as unorthodox ways of pipelining, RTL coding, and creative ways of porting interface logic/software allowed us to meet the requirements outlined above. With all these in our arsenal, we were able to get 3 versions of the algorithm (with different fps and/or resolution) running on Cyclone IV and Arria 10 FPGAs in a fairly short amount of time. This paper explains the image fusion algorithm, our hardware architecture as well as our specific flow for rapid implementation of it.en_US
dc.description.sponsorshipTÜBİTAK ; European Union's Artemis Joint Undertaking
dc.identifier.doi10.1109/AICCSA.2018.8612836en_US
dc.identifier.isbn978-1-5386-9120-5
dc.identifier.issn2161-5322en_US
dc.identifier.scopus2-s2.0-85061923887
dc.identifier.urihttp://hdl.handle.net/10679/6605
dc.identifier.urihttps://doi.org/10.1109/AICCSA.2018.8612836
dc.identifier.wos000457628800059
dc.language.isoengen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relationinfo:eu-repo/grantAgreement/TUBITAK/1001 - Araştırma/114E343
dc.relation.ispartof2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)
dc.relation.publicationcategoryInternational
dc.rightsrestrictedAccess
dc.subject.keywordsImage fusionen_US
dc.subject.keywordsHLSen_US
dc.subject.keywordsReal-time image processingen_US
dc.subject.keywordsPipeline processingen_US
dc.subject.keywordsHardware implementationen_US
dc.subject.keywordsFPGAen_US
dc.titleRapid design of real-time image fusion on FPGA using HLS and other techniquesen_US
dc.typeconferenceObjecten_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication7b58c5c4-dccc-40a3-aaf2-9b209113b763
relation.isOrgUnitOfPublication.latestForDiscovery7b58c5c4-dccc-40a3-aaf2-9b209113b763

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