AI engineering glossary · Generative media multimodal
What is PSNR?
PSNR (also called Peak signal-to-noise ratio): Peak signal-to-noise ratio, a measure of how close a reconstructed image is to a reference, expressed in decibels from the mean squared error. Higher is better, though it correlates only loosely with how good the image looks.
PSNR: an example
PSNR = 10 * log10(MAX^2 / MSE); for 8-bit images MAX = 255, and an MSE of 25 gives about 34.2 dB.
Related terms
- SSIM
- LPIPS
- Super-resolution
More Generative media multimodal terms
- Q-Former
- Realtime speech interaction
- Reparameterisation trick
- Residual vector quantisation
- Reverse diffusion process
- RNN-Transducer
- Sample rate
- Score distillation sampling
Where you learn it
PSNR is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.