Uzun, IS and Amira, A (2005) A FPGA-based parametrizable system for high-resolution frequency-domain image filtering. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 14 (5). pp. 895-921. [Journal article]
Full text not available from this repository.
Signal and image processing applications require high computational power with the ability to experiment different algorithms involving matrix transforms. Reconfigurable hardware devices in the form of Field Programmable Gate Arrays (FPGAs) have been proposed to obtain high performance at an economical price. However, the users must program FPGAs at a very low level and must have a detailed knowledge of the architecture of the device being used. In trying to reconcile the dual requirements of high performance and the ease of development, this paper reports the design and realization of the Fast Fourier Transforms (FFTs) using a FPGA-based environment, which enables system designer to meet different system requirements (i.e., chip area, speed, memory, etc.) for a range of signal processing and imaging applications. The use of the proposed environment has been proven by the developing a high-level FPGA-based parametrizable image processing system for frequency-domain filtering application. The system achieves real-time image filtering performance exceeding those of currently available solutions by an order of magnitude in frame rate and input image size.
|Item Type:||Journal article|
|Keywords:||fast Fourier transforms; FPGAs; image filtering; real-time image processing|
|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)
|Deposited By:||Dr Abbes Amira|
|Deposited On:||02 Jun 2010 09:23|
|Last Modified:||14 Apr 2014 10:05|
Repository Staff Only: item control page