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Utilizing MATLAB to show how SVD can be used to compress colored images

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Image Compression

A small MATLAB script that compresses an image utilizing Singular Value Decomposition It works on colored images by splitting the red, green and blue color channels into their own separate matrices

How To Use

  • First clone the repository
git clone https://github.com/alexanderepstein/Image-Compression
  • Then copy these files over to your MATLAB root folder
  • Open ImageTest.m and run it
To run this on your own image just add your image file to the root MATLAB folder and change the imagefile variable in ImageTest.m to the name of your file.
This script will take a long time to run, it was used just to display the rgbSVD.m script in a way that provides data about the percent error based on how many singular values are used.

Example Output

Further Reading

Paper

License

MIT License

Copyright (c) 2017 Alex Epstein

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Utilizing MATLAB to show how SVD can be used to compress colored images

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