جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://dl.pgu.ac.ir/handle/Hannan/56494
Full metadata record
DC FieldValueLanguage
dc.creatorMa,, ZB-
dc.creatorYang,, Y-
dc.creatorLiu,, YX-
dc.creatorBharath, AA-
dc.date.accessioned2017-05-17T09:16:46Z-
dc.date.available2017-05-17T09:16:46Z-
dc.date.issued2016-02-29-
dc.date.issued2016-01-17-
dc.identifier1549-7747-
dc.identifierhttp://hdl.handle.net/10044/1/33197-
dc.descriptionTwo-dimensional (2-D) convolution is a widely used operation in image processing and computer vision, characterized by intensive computation and frequent memory accesses. Previous efforts to improve the performance of field-programmable gate array (FPGA) convolvers focused on the design of buffering schemes and on minimizing the use of multipliers. A recently proposed recurrently decomposable (RD) filter design method can reduce the computational complexity of 2-D convolutions by splitting the convolution between an image and a large mask into a sequence of convolutions using several smaller masks. This brief explores how to efficiently implement RD based 2-D convolvers using FPGA. Three FPGA architectures are proposed based on RD filters, each with a different buffering scheme. The conclusion is that RD based architectures achieve higher area efficiency than other previously reported state-of-the-art methods, especially for larger convolution masks. An area efficiency metric is also suggested, which allows the most appropriate architecture to be selected.-
dc.publisherIEEE-
dc.relationIEEE Transactions on Circuits and Systems-
dc.rights© 2016 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending an email to pubs-permissions@ieee.org-
dc.source983-
dc.source979-
dc.subjectScience & Technology-
dc.subjectTechnology-
dc.subjectEngineering, Electrical & Electronic-
dc.subjectEngineering-
dc.subjectField-programmable gate arrays (FPGAs)-
dc.subjectlarge convolution mask-
dc.subjectrecurrently decomposable (RD)-
dc.subjecttwo-dimensional (2-D) convolution-
dc.subjectREAL-TIME COMPUTATION-
dc.subjectARCHITECTURE-
dc.subjectCONVOLUTION-
dc.subjectElectrical & Electronic Engineering-
dc.subject Electrical And Electronic Engineering-
dc.titleRecurrently decomposable 2-D convolvers for FPGA-based digital image processing-
dc.typeOther-
Appears in Collections:Bioengineering

Files in This Item:
There are no files associated with this item.


تمامی کاربرگه ها در کتابخانه ی دیجیتال حنان به صورت کامل محافظت می شوند.