GSoC 2019

Google Summer of Code 2019

Proposal submitted by Miral Shah

Boost.GIL provides core features for images. But at the current point, it does not have a lot of mainstream image processing algorithms which are used regularly. Here I am proposing to implement different image processing algorithms for Boost.GIL by using existing features of the GIL or using its extensions.

1. Thresholding

• Simple Thresholding
• Adaptive Thresholding

2. Mathematical Morphology

• Dilation
• Erosion
• Blurring / Smoothing
• Sharpening

3. Normalizing Channels

4. De-Noising

• Wiener filter
• Average filter
• Median filter

5. Convolutions

• Kernels
• Transformation

6. Integrating FFT

• GIL numeric exrension