From Wikipedia, the free encyclopedia
The phrase peak signal-to-noise ratio, often
abbreviated 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 in terms of the
logarithmic
decibel scale.
The PSNR is most commonly used as a measure of quality of
reconstruction in
image compression etc. It is most easily defined via the
mean squared error (MSE) which for two mΧn
monochrome images I and K where one of the images
is considered a noisy approximation of the other is defined as:
-
The PSNR is defined as:
-
Here, MAXI is the maximum pixel value of
the image. When the pixels are represented using 8 bits per
sample, this is
255. More generally, when samples are represented using
linear
PCM with B bits per sample, maximum possible value of
MAXI is 2B-1.
For
color images with three
RGB
values per pixel, the definition of PSNR is the same except the
MSE is the sum over all squared value differences divided by
image size and by three.
Typical values for the PSNR in image compression are between
30 and 40 dB.
See also
-
Signal-to-noise ratio
-
Video quality
-
Subjective video quality
External link
-
Program for PSNR measurement in BMP files and video
Categories:
Image processing |
Noise |
Film and video technology |
Digital television |
Engineering ratios