FPGA design and implementation of Gaussian filter

Zhihui Yang; Gang Zhou

doi:10.1117/12.2204754

17 December 2015 FPGA design and implementation of Gaussian filter

Zhihui Yang, Gang Zhou

Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 98110W (2015) https://doi.org/10.1117/12.2204754
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In this paper , we choose four different variances of 1,3,6 and 12 to conduct FPGA design with three kinds of Gaussian filtering algorithm ,they are implementing Gaussian filter with a Gaussian filter template, Gaussian filter approximation with mean filtering and Gaussian filter approximation with IIR filtering. By waveform simulation and synthesis, we get the processing results on the experimental image and the consumption of FPGA resources of the three methods. We set the result of Gaussian filter used in matlab as standard to get the result error. By comparing the FPGA resources and the error of FPGA implementation methods, we get the best FPGA design to achieve a Gaussian filter. Conclusions can be drawn based on the results we have already got. When the variance is small, the FPGA resources is enough for the algorithm to implement Gaussian filter with a Gaussian filter template which is the best choice. But when the variance is so large that there is no more FPGA resources, we can chose the mean to approximate Gaussian filter with IIR filtering.

Citation Download Citation

Zhihui Yang and Gang Zhou "FPGA design and implementation of Gaussian filter", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110W (17 December 2015); https://doi.org/10.1117/12.2204754

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KEYWORDS

Gaussian filters

Field programmable gate arrays

Digital filtering

Image filtering

Image processing

Electronic filtering

MATLAB

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