The range of PSNR (Peak Signal-to-Noise Ratio) is theoretically infinite, but in practice, it is usually reported in decibels (dB) and ranges from 0 dB to a very high value, with higher values indicating a better quality image.
Here's a breakdown:
- PSNR is a metric used to measure the quality of an image compared to a reference image. It is calculated by comparing the mean squared error (MSE) between the two images.
- The higher the PSNR value, the lower the MSE, and the better the image quality.
- A PSNR value of 0 dB indicates that the two images are identical.
- In practice, a PSNR value above 40 dB is considered to be a good quality image.
For example:
- A PSNR of 30 dB might indicate a slightly noisy image.
- A PSNR of 40 dB might indicate a good quality image with minimal noise.
- A PSNR of 50 dB might indicate an excellent quality image with very little noise.
PSNR is a widely used metric in image processing and compression, and it is often used to evaluate the performance of different image compression algorithms.
