Image processing

Labolatory assignments related to image processing using python3.9+ (due to the use of typing methods supported from version 3.9). The tasks contain solutions to a variety of challanges, including the use of self-written interpolation algorithms, conversion of an image into a CFA (bayer, X-TRANS), image scaling or rotation and denoising.

Table of contents

• Solutions
• Examples
• License
• Contact

Solutions

• lab-01 (rolling shutter effect simulation)
• lab-02 (demosaicing)
• lab-03 (scaling and rotating raster images)
• lab-04 (denoising images)
• lab-05 (orthogonal basis)

Examples

All scripts are configurable through the use of flags to check which options can be used to execute script, simply use the help flag.

$ python3.9 script-name.py -h

lab-01 (rolling shutter effect simulation)

$ python3.9 rshutter.py -b 5 -l 3 --save

lab-02 (demosaicing)

$ python3.9 demosaicing.py --image ./image.bmp --bayer --nearest --save

lab-03 (scaling and rotating raster images)

$ python3.9 scale-and-rotate.py --image ./image.jpg --shrink 0.65 --rotate 65 --nearest --save

lab-04 (denoising images)

$ python3.9 denoising.py --image ./image.jpg --noise-image ./noise-leopard.jph --box --size 7 --save

lab-05 (orthogonal basis)

$ python3.9 orthogonal-basis.py --image ./lenna.png --fourier --hpf --size 80

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Feel free to contact: @raczuu1 - [email protected]

Project link: https://github.com/raczu/image-processing

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