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Python implementation of Mixed noise reduction via sparse error constraint representation of a high-frequency image for wildlife image

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Mixed noise reduction for wildlife image

Python implementation of Mixed noise reduction via sparse error constraint representation of a high-frequency image for wildlife image.

Paper link: https://link.springer.com/article/10.1007/s11042-022-13247-7

Features

  • Python
  • Pytorch
  • Sparse error constraint representation
  • Dictionary learning
  • Proximal alternating linearization minimization
  • 2D-DCT

File Description

This Repository contains the following:

1 - Code

2 - Documentation

2 - Wildlife Images(Dataset)

3 - Result

New results are saved as a CSV file after each run

Documentation

You can see the description of the article and the implementation method in the following files: Ducumentation / Presentation

Results

App Screenshot

Contributing

Contributions are always welcome!

Email: kiananvari@yahoo.com

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Python implementation of Mixed noise reduction via sparse error constraint representation of a high-frequency image for wildlife image

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