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  • 标题:A FPGA based Generic Architecture for Polynomial Matrix Multiplication in Image Processing
  • 本地全文:下载
  • 作者:Prof. Dr. S. K. Shah ; S. M. Phirke
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:9
  • DOI:10.15680/IJIRCCE.2015. 0309120
  • 出版社:S&S Publications
  • 摘要:Most of the image processing applications uses convolution for obtaining various filtering effectsdepending on kernel image. As convolution in time domain can be computed as simple multiplication in frequencydomain. Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) is best solution to convert timedomain matrix into frequency domain and vice versa. In this proposed system, architecture is designed for PolynomialMatrix Multiplication (PMM) using Xilinx system generator tool. A dedicated generic architecture for 1D/2DFFT/IFFT is designed with no dependency on order of input matrices. A model for PMM is simulated in MATLABSimulink and the response time and Mean square error is calculated for methods like multiplication with FFT andWithout FFT. VHDL code for the same model is generated from Xilinx System Generator and simulated in Xilinx ISE,and resources utilized are calculated for order of polynomial up to 64. Proposed model is also tested on some imagefiltering applications such as sharpening, blurring and smoothing. Also the architecture is implemented on Virtex-5 toget effective filtering effects as results
  • 关键词:Fast Fourier Transform; Inverse Fast Fourier Transform; Polynomial Matrix Multiplication; Xilinx;System Generator tool; MATLAB Simulink.
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