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A Python module for computing the Structural Similarity Image Metric (SSIM)

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pyssim

This module implements the Structural Similarity Image Metric (SSIM). Original code written by Antoine Vacavant from http://isit.u-clermont1.fr/~anvacava/code.html, with modifications by Christopher Godfrey and Jeff Terrace.

Installation

pip install pyssim

Running

$ pyssim --help
usage: pyssim [-h] image1.png image2.png

Compares two images using the SSIM metric

positional arguments:
  image1.png
  image2.png

optional arguments:
  -h, --help  show this help message and exit

References

  • [1] Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli. Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4):600--612, 2004.
  • [2] Z. Wang and A. C. Bovik. Mean squared error: Love it or leave it? - A new look at signal fidelity measures. IEEE Signal Processing Magazine, 26(1):98--117, 2009.

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A Python module for computing the Structural Similarity Image Metric (SSIM)

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