This repository contains the code for my digital image processing class, taken Spring '17 taught by Professor Eric Miller.
Originally written in Matlab, I may port it to python later and upload the pdf of the solutions to the problem sets.
Topics covered in:
Problem Set 1
- Lexicographic ordering
- Pixel distances (Euclidean, 4 and 8 nearest neighbor methods)
- Boundary conditions: periodic extending and zero-padding
- Histogram calculation
- Histogram equalization - by parts and dynamic
- Image transformation - rotation, translation, shearing
Problem Set 2
- Image morphology
- Erosion
- Dilation
- Opening
- Closing
- Thinning
- Finding skeletons
- Denoising
- Reconstruction by dilation
- Finding connected components
- Closing by reconstruction
- Reconstruction by erosion
- 2D convolution
Problem Set 3
- 2D convolution with zero-padding and periodic boundaries
- Building a homemade conv2 (the built in matlab function for 2D convolution)
- Template matching w/convolution
- Gaussian noise filters
Problem Set 4
- 2D Fourier transforms
- Discrete cosine transform - DCT-II and DCT-III
- Rough approximation of JPEG compression
- Gradient based filtering
- Steerable filters