Hands-On Image Processing with Python

Questions

1. Use the scikit-image library's functions to read a collection of images and display them as a montage.
2. Use the scipy ndimage and misc modules' functions to zoom, crop, resize, and apply Affine transformation to an image.
3. Create a Python remake of the Gotham Instagram filter (https://github.com/lukexyz/CV-Instagram-Filters) (hint: manipulate an image with the PIL split(), merge(), and numpy interp() functions to create a channel interpolation (https://www.youtube.com/watch?v=otLGDpBglEA&feature=player_embedded)).
4. Use scikit-image's warp() function to implement the swirl transform. Note that the swirl transform can also be expressed with the following equations:

5. Implement the wave transform (hint: use scikit-image's warp() ...