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Accelerating matrix product on reconfigurable hardware for image processing applications

Bensaali, F, Amira, A and Bouridane, A (2005) Accelerating matrix product on reconfigurable hardware for image processing applications. IEE PROCEEDINGS-CIRCUITS DEVICES AND SYSTEMS, 152 (3). pp. 236-246. [Journal article]

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DOI: 10.1049/ip-cds:20040838


Matrix multiplication is very important in many types of applications including image and signal processing. The suitability of reconfigurable hardware devices, in the form of field programmable gate arrays (FPGAs), is investigated as a low-cost solution for implementing two matrix multipliers for 3-D affine transformations and colour space conversion. A first solution based on processing large matrix multiplication, for large 3-D models, and for the evaluation of the Celoxica fixed-point library and Xilinx CoreGen performance has been reported * A novel architecture for efficient implementation of a colour space converter (CSC) based on distributed arithmetic (DA) principles has been presented. The two multipliers have been developed and implemented-on the RC1000-PP Celoxica board-based development platform. Results show that the FPGA-based first parallel multiplier can achieve the performance of a graphics card when performing 3-D affine transformations, while the second multiplier, which is fully pipelined and platform-independent, has a low latency (8 cycles) and is capable of a sustained data rate of over 234 mega-conversions per second.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:13439
Deposited By: Dr Abbes Amira
Deposited On:02 Jun 2010 08:25
Last Modified:14 Apr 2014 09:04

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