##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.