https://github.com/agnostic-apollo/digital-image-processing-course
Digital Image Processing Course Projects
https://github.com/agnostic-apollo/digital-image-processing-course
c-plus-plus digital-image-processing matlab
Last synced: 8 months ago
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Digital Image Processing Course Projects
- Host: GitHub
- URL: https://github.com/agnostic-apollo/digital-image-processing-course
- Owner: agnostic-apollo
- Created: 2018-06-04T19:46:51.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-06-06T15:30:03.000Z (over 7 years ago)
- Last Synced: 2025-03-18T18:55:12.724Z (12 months ago)
- Topics: c-plus-plus, digital-image-processing, matlab
- Language: C
- Size: 6.77 MB
- Stars: 1
- Watchers: 0
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Digital Image Processing Course Projects (Matlab and C++)
The projects include:
1) Image grayscale and Histogram display. (Project 1 Part 2)
2) Custom code for Contrast Stretching with saturation cut offs. (Project 1 Part 2)
3) Custom code for Histrogram Equalization. (Project 1 Part 2)
4) Image Fast Fourier Transform (FFT) Display. (Project 1 Part 1)
5) Recovering original image by removing a pattern added to image by zeroing out frequencies in Frequency Domain. (Project 1 Part 1)
6) Application of Simple Averaging Filter in both Spatial and Frequency Domains. (Project 1 Part 1)
7) Create noisy images by adding uncorrelated Gaussian Noises to images and then Averaging the noisy images to see the affect. (Project 1 Part 3)
8) SNR relation of image and noise. (Project 1 Part 3)
9) Removing uncorrelated Gaussian Noises after applying Median Filter. (Project 1 Part 3)
10) Finding Connected Neighbours, Connected Sets and Image Segmentations. (Project 2 Part 1)
11) Estimating a Screen's Gamma Value by use of alternating checkerboard and constant grayscale pattern. (Project 2 Part 2)
12) Gamma Correction of Images. (Project 2 Part 2)
13) Principal Component Analysis (PCA), finding Eigenvectors, Projecting sample data onto nth Largest Eigenvectors, Reconstructing original data from Projected data. (Project 2 Part 3)
Credits:
Charles A. Bouman for [project questions](https://engineering.purdue.edu/~bouman/grad-labs/)
Usman Sadiq for project questions
Vincent Spruyt for great [PCA tutorials and pca.m](http://visiondummy.com/2014/05/feature-extraction-using-pca/)