psnr

Peak Signal-to-Noise Ratio (PSNR)

Syntax

peaksnr = psnr(A,ref)

peaksnr = psnr(A,ref,peakval)

[peaksnr,snr] = psnr(___)

Description

peaksnr = psnr(A,ref) calculates the peak signal-to-noise ratio for the image A, with the image ref as the reference.

peaksnr = psnr(A,ref,peakval) uses peakval as the peak signal value for calculating the peak signal-to-noise ratio for image A.

[peaksnr,snr] = psnr(___) returns the simple signal-to-noise ratio, snr, in addition to the peak signal-to-noise ratio.

Examples

Calculate PSNR for Noisy Image Given Original Image as Reference

Read image and create a copy with added noise. The original image is the reference image.

ref = imread('pout.tif');
A = imnoise(ref,'salt & pepper', 0.02);

Calculate the PSNR.

[peaksnr, snr] = psnr(A, ref);
  
fprintf('\n The Peak-SNR value is %0.4f', peaksnr);

 The Peak-SNR value is 22.6437

fprintf('\n The SNR value is %0.4f \n', snr);

 The SNR value is 15.5524 

Input Arguments

A — Image to be analyzed

numeric array

Image to be analyzed, specified as a numeric array of any dimension.

Data Types: single | double | int16 | uint8 | uint16

ref — Reference image

N-D numeric matrix

Reference image, specified as a numeric array of the same size and data type as image A.

Data Types: single | double | int16 | uint8 | uint16

peakval — Peak signal level

nonnegative number

Peak signal level, specified as a nonnegative number. If not specified, the default value for peakval depends on the class of A and ref.

• If the images are of data type double or single, then psnr assumes that image data is in the range [0, 1] and the default value of peakval is 1.

• If the images are of integer data types, then the default value of peakval is the largest value allowed by the range of the class. For uint8 data, the default value of peakval is 255. For uint16 or int16, the default is 65535.

Output Arguments

peaksnr — Peak signal-to-noise ratio

scalar

Peak signal-to-noise ratio in decibels, returned as a scalar of type double, except if A and ref are of class single, in which case peaksnr is of class single.

Data Types: single | double

snr — Signal-to-noise ratio

numeric scalar

Signal-to-noise ratio in decibels, returned as a numeric scalar of type double, except if A and ref are of class single, in which case peaksnr is of type single.

Data Types: single | double

Algorithms

The psnr function implements the following equation to calculate the Peak Signal-to-Noise Ratio (PSNR):

$$PSNR=10{\log }_{10}\left(peakva{l}^2/MSE\right)$$

where peakval is either specified by the user or taken from the range of the image datatype (e.g. for uint8 image it is 255). MSE is the mean square error, i.e. MSE between A and ref.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• psnr supports the generation of C code (requires MATLAB^® Coder™). For more information, see Code Generation for Image Processing.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.