GSoC 2020

Google Summer of Code 2020

https://github.com/boostorg/boost/wiki/Google-Summer-of-Code%3A-2020

Image Processing Algorithms

This proposal is continuation of Image Processing Algorithms project submitted and developed by Miral Shah during GSoC 2019.

Boost.GIL provides core features for images and, thanks to Miral Shah's work, a collection of basic image processing algorithms. However, there still is more algorithms to be added to the collection.

1. Mathematical Morphology

• Dilation
• Erosion
• Blurring / Smoothing
• Sharpening

2. Normalizing Channels

3. De-Noising

• Wiener filter
• Average filter
• Median filter

4. Kernels and Convolutions

• The GSoC 2019 project implemented lots of improvements and new features in the kernels and convolutions, but this area may still benefit from further development, optimisations and documenting.

5. Integrating FFT

• GIL numeric exrension

6. Image Processing Documentation

• We need a beautifully written and presented documentation of the image processing features in GIL
• For example, https://github.com/boostorg/gil/issues/396, describes an idea of the docs structure based on the "Principles of Digital Image Processing" book