This repository contains multiple image processing methods.

See README.md files in the src folder in each homework folder.

Reference of methods in the Homework directory:

Homework:

HW1: 
    A. Image Demosaicing and Histogram Manipulation:
        1. Bilinear Demosaicing
        2. MHC Demosaicing
        3. Histogram Manipulation
    B. Image Denoising:
        1. Uniform Weight Filter
        2. Gaussian Weight Filter
        3. Bilateral filters
        4. Non-local Mean Filter
        5. Median Filter
        6. BM3D Filter
HW2:
    A. Edge Detection: 
        1. Sobel Edge Detector
        2. Canny Edge Detector
        3. Structured Edge
    B. Digital Half-toning:
        1. Random thresholding
        2. Dithering Matrix
        3. Floyd-Steinberg’s Error Diffusion
        4. Error Diffusion Proposed by Jarvis, Judice, and Ninke (JJN)
        5. Error Diffusion Proposed by Stucki
        6. Separable Error Diffusion
        7. MBVQ-based Error diffusion
HW3: 
    A. Geometric Modification:
        1. Geometric Transformation
        2. Spatial Warping
        3. Lens Distortion Correction
    B. Morphological Processing:
        1. Shrinking
        2. Thinning
        3. Skeletonizing
        4. Defect Detection and Correction
        5. Object Analysis
HW4: 
    A. Texture Analysis:
        1. Texture Classification
        2. Texture Segmentation
    B. Image Feature Extractor:
        1. SIFT: Image Matchhing
        2. Bag of Words
HW5: 
    A. Train LeNet-5 on MNIST Dataset
    B. Apply Trained Network to Negative Images

HW6:
    A. Image Reconstructions from Saab Coefficients
    B. Handwritten Digits Recognition Using Ensembles of Feedforward Design