dc.contributor.author |
Anastasiadis, N |
en |
dc.contributor.author |
Sideris, I |
en |
dc.contributor.author |
Pekmestzi, K |
en |
dc.date.accessioned |
2014-03-01T02:46:35Z |
|
dc.date.available |
2014-03-01T02:46:35Z |
|
dc.date.issued |
2010 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/32741 |
|
dc.subject |
coprocessor |
en |
dc.subject |
edge detection |
en |
dc.subject |
FPGA |
en |
dc.subject |
FSL |
en |
dc.subject.other |
A-frames |
en |
dc.subject.other |
Block rams |
en |
dc.subject.other |
Co-processors |
en |
dc.subject.other |
coprocessor |
en |
dc.subject.other |
Fast multipliers |
en |
dc.subject.other |
Frame rate |
en |
dc.subject.other |
Frames per seconds |
en |
dc.subject.other |
High resolution |
en |
dc.subject.other |
Processing power |
en |
dc.subject.other |
Processing Time |
en |
dc.subject.other |
Real time performance |
en |
dc.subject.other |
Real time videos |
en |
dc.subject.other |
Video surveillance |
en |
dc.subject.other |
Xilinx spartan-3 |
en |
dc.subject.other |
Medical imaging |
en |
dc.subject.other |
Radar absorbing materials |
en |
dc.subject.other |
Security systems |
en |
dc.subject.other |
Edge detection |
en |
dc.title |
A fast multiplier-less edge detection accelerator for FPGAs |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1145/1774088.1774193 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1145/1774088.1774193 |
en |
heal.publicationDate |
2010 |
en |
heal.abstract |
Real time video is used in a wide variety of applications, ranging from video surveillance to medical imaging. These operations require significant amounts of processing power, especially when high resolution frames are used. A large percentage of processing time is used in edge detection kernels. Thus, accelerating these kernels is of vital importance in achieving satisfactory frame rates for real time performance, even in high resolutions. This paper proposes a hardware coprocessor to the Xilinx Microblaze processor which accelerates edge detection significantly, while keeping the hardware requirements low, by using no multipliers at all. Using a Xilinx Spartan 3E FPGA, we have reported a frame rate of 157 frames per second in 4CIF format, which corresponds to a 4x speedup over the software only solution. The speedup was achieved with only 1131 slices and 5 block RAMs hardware occupation, which makes the solution very attractable. © 2010 ACM. |
en |
heal.journalName |
Proceedings of the ACM Symposium on Applied Computing |
en |
dc.identifier.doi |
10.1145/1774088.1774193 |
en |
dc.identifier.spage |
510 |
en |
dc.identifier.epage |
515 |
en |