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.
Peak Signal-to-Noise Ratio (PSNR)
Peak signal-to-noise ratio (PSNR) is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation. Because many signals have a very wide dynamic range, PSNR is usually expressed as a logarithmic quantity using the decibel scale. PSNR is commonly used to quantify reconstruction quality for images and video subject to lossy compression.
PSNR can be indirectly linked to the Robustness objective, as it quantifies how well an AI system preserves signal quality in the presence of noise or distortions. High PSNR values suggest that the system maintains reliable performance under certain adverse conditions (e.g., noisy inputs), which is a component of robustness. However, this connection is limited to technical robustness in image quality and does not extend to broader system reliability or resilience.
References
About the metric
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Target users:
Github stars:
- 7100
Github forks:
- 720
