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SSIM

Creator
Creator
Seonglae Cho
Created
Created
2023 Dec 15 15:22
Editor
Editor
Seonglae Cho
Edited
Edited
2023 Dec 15 15:29
Refs
Refs

Structural similarity Index (for 2D data)

notion image
  • Luminance - by considering average value μμμ
  • Contrast - by considering variance value σx,σyσ_x, σ_yσx​,σy​
  • Structure - by considering correlation value σxyσ_{xy}σxy​
 
 

Loss Function

LSSIM=1−SSIM(x,y)L_{SSIM}=1−SSIM(x,y)LSSIM​=1−SSIM(x,y)
 
 
Structural similarity
The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures, as well as other kinds of digital images and videos. SSIM is used for measuring the similarity between two images. The SSIM index is a full reference metric; in other words, the measurement or prediction of image quality is based on an initial uncompressed or distortion-free image as reference.
Structural similarity
https://en.wikipedia.org/wiki/Structural_similarity
 
 

Backlinks

Frechet Inception DistanceVision AI Metric

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