Mystery behind similarity measures mse and SSIM

@article{Palubinskas2014MysteryBS,
  title={Mystery behind similarity measures mse and SSIM},
  author={G. Palubinskas},
  journal={2014 IEEE International Conference on Image Processing (ICIP)},
  year={2014},
  pages={575-579}
}
  • G. Palubinskas
  • Published 2014
  • Mathematics, Computer Science
  • 2014 IEEE International Conference on Image Processing (ICIP)
  • 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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    References

    SHOWING 1-10 OF 12 REFERENCES
    Complex Wavelet Structural Similarity: A New Image Similarity Index
    • 411
    • PDF
    On the Mathematical Properties of the Structural Similarity Index
    • 226
    • PDF
    A comprehensive assessment of the structural similarity index
    • 135
    Image Quality Metrics: PSNR vs. SSIM
    • A. Horé, D. Ziou
    • Computer Science
    • 2010 20th International Conference on Pattern Recognition
    • 2010
    • 1,111
    • PDF
    Image quality assessment: from error visibility to structural similarity
    • 25,439
    • PDF
    A universal image quality index
    • 4,453
    Image quality assessment for performance evaluation of image fusion
    • 68
    • PDF
    Fast, simple, and good pan-sharpening method
    • 29
    • PDF
    Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
    • 2,014
    • PDF