Mystery behind similarity measures mse and SSIM

@article{Palubinskas2014MysteryBS,
  title={Mystery behind similarity measures mse and SSIM},
  author={Gintautas Palubinskas},
  journal={2014 IEEE International Conference on Image Processing (ICIP)},
  year={2014},
  pages={575-579}
}
Similarity or distance measures play an important role in various pattern recognition applications such as classification, clustering, change detection, information retrieval, energy minimization and optimization problems. We shall analyze theoretically the two most popular quality measures MSE and SSIM used in image processing by showing their origin, similarities/differences and advantages/drawbacks. Both measures depend on the same parameters: sample means, standard deviations and… CONTINUE READING
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