##Image Processing
This repository contains image processing algorithms implemented as a
part of EE 569 - Introduction to Digital image processing at USC.
The high level overview of algorithms implemented in each folder is
given below:
####HW1:
- Cropping and Resizing
- Color Space Transformation
- Histogram Equalization using TF and CDF based approach
- Image Denoising using Median filter, Mean filter and NLM
####HW2:
- Geometrical Warping
- Puzzle Matching
- Homographic Transformation and Image Overlay
- Digital Halftoning using:
- Ordered Dithering
- Floyd-Steinberg's Error Diffusion
- JJN
- Stucki
- Image Binarization using simple thresholding
- Morphological Processing
- Dilation
- Erosion
- Dilation based Hole filling algorithm
- Dilation and Erosion based hole filling algorithm
- Harris corner detection
####HW3:
- Texture Classification using Laws filter and K means
- Texture Segmentation
- Salient Point extraction and description using SIFT and SURF
- Image Matching using SIFT and SURF features
####HW4:
- Training and Testing LeNet-5 on MNIST dataset.
- Boosting performance of LeNet-5 on negative images.
- Training and testing LeNet-5 on color image dataset.
- Testing for translational invariance.