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๐Ÿ’ป Digital Image Processing - Practices

The college subject

This respository contains some practices made on Digital Signal Processing classes. In this subject, I studied how to decompose digital signals and apply transformations, additionaly using filters.

The practices subjects

  1. Signal Components
  2. Convolutional Operator and Low Pass Filters
  3. Gaussian and Derivative Filters
  4. DFT and IDFT (Discrete Fourier Transform and Inverse DFT)
  5. Matrix DFT
  6. DFT and IDFT with "for loops"
  7. Gabor Filters - Frequency domain
  8. Gabor Filters - Space domain
  9. FIR FIlters

How to run

Just open a jupyter notebook to see all the .ipynb files.

Author

Pedro Malandrin Klesse

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