Structural Similarity Index (SSIM)

Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Overview Tools Metrics About the catalogue

Website

The structural similarity index measure (SSIM) measures the perceived similarity of two images. When one image is a modified version of the other (e.g., if it is compressed) the SSIM serves as a measure of the fidelity of the compressed representation. The SSIM formula is based on three comparison measurements associated with luminance, contrast, and structure.

About the metric

You can click on the links to see the associated metrics

Objective(s):

Performance
Privacy & data governance
Robustness & digital security

Lifecycle stage(s):

Build & interpret model

Target users:

Developer
System integrators

Risk management stage(s):

Define
Assess

Modify this metric

Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.