https://github.com/l3str4nge/imgprocalgs

Image processing algorithms implementation in pure Python :wrench:
https://github.com/l3str4nge/imgprocalgs

algorithms contributions-welcome flask good-first-issue imageprocessing python

Last synced: about 2 months ago
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Image processing algorithms implementation in pure Python :wrench:

• Host: GitHub
• URL: https://github.com/l3str4nge/imgprocalgs
• Owner: l3str4nge
• License: mit
• Created: 2020-04-02T16:52:34.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-02-02T05:52:50.000Z (almost 2 years ago)
• Last Synced: 2023-03-08T22:07:02.580Z (almost 2 years ago)
• Topics: algorithms, contributions-welcome, flask, good-first-issue, imageprocessing, python
• Language: Python
• Homepage:
• Size: 5.51 MB
• Stars: 13
• Watchers: 1
• Forks: 5
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        


    
ImageProcessingAlgorithms




    

        

    

    

        

    

    

        

    



Collection of common image processing algorithms. This project aims to learn digital image processing algorithms by coding them from scratch in Python >= 3.6. 

Small Flask application is used to generate output in website to see algorithm result.

Travis-CI is used for CI/CD environment.

Implemented so far:

* resizing algorithms:

    * Nearest neighbour (https://en.wikipedia.org/wiki/Nearest_neighbour_algorithm)

    * Bilinear interpolation (https://en.wikipedia.org/wiki/Bilinear_interpolation)

    * Bicubic interpolation (https://en.wikipedia.org/wiki/Bicubic_interpolation)

* other:

    * negative (https://en.wikipedia.org/wiki/Negative_(photography))

    * Tilt-shift (https://pl.wikipedia.org/wiki/Tilt-shift)

    * RGB to HSV conversion(https://en.wikipedia.org/wiki/HSL_and_HSV)

    * HSV to RGB conversion(https://en.wikipedia.org/wiki/HSL_and_HSV)

    * color accent

* tone

    * sepia (https://en.wikipedia.org/wiki/Photographic_print_toning#Sepia_toning)

* dithering

    * Floyd-Steinberg (https://en.wikipedia.org/wiki/Floyd%E2%80%93Steinberg_dithering)

    * Jarvis Judice Ninke (https://en.wikipedia.org/wiki/Dither)

    * Stucki (https://en.wikipedia.org/wiki/Dither)

* Convolution

    * Edge detection (https://en.wikipedia.org/wiki/Kernel_(image_processing))

##### Installation

```buildoutcfg

git clone https://github.com/mateuszz0000/imgprocalgs

pip install -U imgprocalgs/

```

##### Usage

Different entry point is prepared for each type of algorithm:

```buildoutcfg

imgprocalgs-sepia 

imgprocalgs-tiltshift 

imgprocalgs-dithering 

imgprocalgs-negative 

imgprocalgs-color-accent 

```

##### Example



#### Contribution

Read our [Contribution Guidelines](CONTRIBUTING.md) before you contribute.