Multiscale structural similarity score significance?

Hi, there! When calculating multiscale structural similarity between two images, what score or percentage is considered significant? For reference, I have been using

Iref = imread('Image1');

I = imread ('Image2');

score = multissim(I,Iref)

Thank you so much in advance!

Answer 1

[Suraj Kumar]

Hi @Ivy Kwok,

The Multiscale Structural Similarity Index (MS-SSIM) is a metric used to measure the similarity between two images.

This calculates the multi-scale structural similarity (MS-SSIM) index, score, for image I, using Iref as the reference image.

A value closer to 1 indicates better image quality and a value closer to 0 indicates poorer quality.

High Scores (close to 1): Typically, an MS-SSIM score above 0.95 is considered excellent, indicating that the images are nearly identical in terms of perceived quality.

Moderate Scores (0.8 to 0.95): Scores in this range suggest that the images are quite similar, with minor perceptual differences.

Low Scores (< 0.8): These scores indicate noticeable differences in image quality, which could be due to factors like blurring, noise, or compression artifacts.

To learn more about multissim in MATLAB, please go through the following documentation:

https://www.mathworks.com/help/images/ref/multissim.html

Happy Coding!

[Ivy Kwok]

Thank you SO much, Suraj – this is truly helpful! Happy Coding to you too! :)