https://github.com/maturk/image-denoising

Image denoising algorithms in Python
https://github.com/maturk/image-denoising

computer-vision denoising denoising-images python

Last synced: 7 days ago
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Image denoising algorithms in Python

• Host: GitHub
• URL: https://github.com/maturk/image-denoising
• Owner: maturk
• Created: 2023-02-03T18:15:56.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-05T19:49:57.000Z (almost 2 years ago)
• Last Synced: 2024-10-28T07:19:23.389Z (about 2 months ago)
• Topics: computer-vision, denoising, denoising-images, python
• Language: Python
• Homepage: https://maturk.github.io/page/2023/02/03/image_denoising.html
• Size: 1.74 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
A small collection of Image Based Denoising algorithms written in Python. Small writeup and demo images can be seen here: [link to demo.](https://maturk.github.io/page/2023/02/03/image_denoising.html) All algorithms are hard coded. Requirements are only numpy and Pillow (see requirements.txt).

## Algorithms:

- [x] Gaussian blur

- [x] Bilateral filter

    - [ ] TODO: optimize bilateral

- [ ] Non-local means filter 

- [ ] Neural network based denoising 

    - [ ] Intel® Open Image Denoise  

## Download

```

git clone [email protected]:maturk/image-denoising.git

cd image-denoising/

pip install -r requirements.txt    

```

### Gaussian Blur

Gaussian blur is one of the simplest denoising algorithms and it amounts to estimating

at each pixel position a local average of intensities and corresponds to low-pass filtering.

```

python ./gaussian-blur/gaussian-blur.py --size 5 --sigma 1 --show True --save True

```

### Bilateral Filter

The bilateral filter is technique to smooth images while preserving edges. It consists of a weighted product of two gaussian kernels, one for pixel distances (sigma_space) and another for pixel intensities (sigma_color). 

```

python ./bilateral-filter/bilateral-filter.py --size 10 --sigma_color 10  --sigma_space 10 --show True --save True

```