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https://github.com/josejuansanchez/ssim
This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images.
https://github.com/josejuansanchez/ssim
Last synced: about 5 hours ago
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This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images.
- Host: GitHub
- URL: https://github.com/josejuansanchez/ssim
- Owner: josejuansanchez
- Created: 2014-01-16T13:10:16.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2014-01-16T17:34:22.000Z (almost 11 years ago)
- Last Synced: 2024-04-16T11:58:17.370Z (7 months ago)
- Language: Matlab
- Size: 160 KB
- Stars: 26
- Watchers: 5
- Forks: 15
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
ssim
====
This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images.The Structural SIMilarity (SSIM) index is a method for measuring the similarity between two images. The SSIM index can be viewed as a quality measure of one of the images being compared, provided the other image is regarded as of perfect quality. It is an improved version of the universal image quality index proposed before. Detailed description is given in the following paper:
* [Z. Wang](http://www.ece.uwaterloo.ca/~z70wang/), [A. C. Bovik](http://live.ece.utexas.edu/people/bovik/), [H. R. Sheikh](http://live.ece.utexas.edu/People/people_detail.php?id=92) and [E. P. Simoncelli](http://www.cns.nyu.edu/~eero/), "[Image quality assessment: From error visibility to structural similarity](https://ece.uwaterloo.ca/~z70wang/publications/ssim.html)," *IEEE Transactions on Image Processing*, vol. 13, no. 4, pp. 600-612, Apr. 2004.
More info can be found at the [official website](http://www.ece.uwaterloo.ca/~z70wang/research/ssim/).
Usage
=====
BASH and Octave:``` bash
./compute_ssim.sh imageA.png imageB.png
```License
=======
SSIM Index with automatic downsampling, Version 1.0
Copyright(c) 2009 Zhou Wang
All Rights Reserved.