Gaussian Filter, values and spectral analysis

Determine Gaussian 2D digital filters, determine integer and floating values. Analyse spectral behavior. Verify with artifical images.
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Actualizado 23 dic 2022

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Purpose:
Determine Gaussian 2D digital filters with integer numbers and sums=2^n , n is integer. The filters are designed especially for FPGA. Divisions may be replaced by much faster shift operations.
Features:
Create 2D Gaussian filters with following properties:
  • Expose full digital filters that have a sum of 2n , with n as integer number.
  • Create also floating numbers filter.
  • Determine optimal filter by spectrum.
  • Plot spectral properties.
  • See results on artificial images.

Citar como

Peter Seibold (2020). Gaussian Filter, values and spectral analysis, MATLAB Central File Exchange. Retrieved December, 2022

Compatibilidad con la versión de MATLAB
Se creó con R2016a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

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Versión Publicado Notas de la versión
3.0.1

Changed title

3.0.0

Deep spectral analysis included

2.0.0.1

For some reason the image of this page was not updated.

2.0.0.0

New method: calculate filter coefficients by Gaussian volume, see explanation.pdf.

1.0.0.0