EE 569 Digital Image Processing

Homework 1

1. Image Demosaicing (Bilinear Demosaicing) and Histogram Manipulation

2. Image Denoising

3. Special Effect Imgage Filters (Oil painting Effect)

Homework 2

1. Edge Detection (Canny, Sobel and Structured Edge)

2. Digital Half-toning

3. Half-toning with Error Diffusion

Homework 3

1. Geometric Image Modification

2. Homographic Image Transformation and Image Stitching

3. Morphological Processing (Not implemented)

Homework 4

1. Texture Analysis

2. Texture Segmentation

3. SIFT and Image Matching (Using OpenCV)

Homework 5

CNN Training using LeNET-5

Homework 6

1. Feedforward designed Convolutional Neural Networks (FF-CNN)

2. PixelHop and PixelHop++ (variations in using Swaab and CSwaab transforms)

3. MNIST and FASHION-MNIST Classifications