You are getting 3 PSNR values because your 'input.png' and 'groundTruth.png' are 3 channel RGB images and your code is calculating PSNR for each channel individually. You can convert your RGB image to grayscale before PSNR calculation to solve this issue. I embeded a watermark in RGB color image now i want to calculate PSNR and MSE of original and watermarked images. How can i find PSNR and MSE of original and watermarked images 2 Comments. Find the treasures in MATLAB Central and discover how the community can help you! SNR, PSNR, RMSE, MAE ImageJ's plugin to assess the quality of images. Written by Daniel Sage at the Biomedical Image Group, EPFL, Switzerland. This program evaluates the SNR, PSNR, RMSE, and MAE of images or series of images according the definitions of Gonzalez (R.C. Gonzalez and R.E. Woods, 'Digital Image Processing,' Prentice Hall 2008). Can i calculate PSNR of a single image in MATLAB. Follow 6 views (last 30 days) tina jain on 28 Feb 2015. Answered: Image Analyst on 28 Feb 2015.
A
— Image whose quality is to be measured
2-D grayscale image | 3-D grayscale volume
Image whose quality is to be measured, specified as a 2-D grayscale image or 3-D grayscale volume.
Data Types:
single
| double
| int16
| uint8
| uint16
ref
— Reference image
2-D grayscale image | 3-D grayscale volume
Reference image against which quality is measured, specified as a 2-D grayscale image or 3-D grayscale volume of the same size and data type as
A
Data Types:
single
| double
| int16
| uint8
| uint16
Name-Value Pair Arguments
Psnr Image
Specify optional comma-separated pairs of
Example: Name,Value
arguments. Name
is the argument name and Value
is the corresponding value. Name
must appear inside quotes. You can specify several name and value pair arguments in any order as Name1,Value1,...,NameN,ValueN
.ssim(A,ref,'DynamicRange',100)
'DynamicRange'
— Dynamic range of the input image
diff(getrangefromclass(A))
(default) | positive scalar
Dynamic range of the input image, specified as a positive scalar. The default value of
DynamicRange
depends on the data type of image A
, and is calculated as diff(getrangefromclass
(A))
. For example, the default dynamic range is 255
for images of data type uint8
, and the default is 1
for images of data type double
or single
with pixel values in the range [0, 1].Data Types:
single
| double
| int8
| int16
| int32
| uint8
| uint16
| uint32
'Exponents'
— Exponents for luminance, contrast, and structural terms
[1 1 1]
(default) | 3-element vector of nonnegative numbers
Exponents for the luminance, contrast, and structural terms, specified as a 3-element vector of nonnegative numbers of the form
[alpha beta gamma]
.Data Types:
single
| double
| int8
| int16
| int32
| uint8
| uint16
| uint32
'Radius'
— Standard deviation of isotropic Gaussian function
1.5
(default) | positive number
Standard deviation of isotropic Gaussian function, specified as a positive number. This value is used for weighting the neighborhood pixels around a pixel for estimating local statistics. This weighting is used to avoid blocking artifacts in estimating local statistics.
Data Types:
single
| double
| int8
| int16
| int32
| uint8
| uint16
| uint32
'RegularizationConstants'
— Regularization constants for luminance, contrast, and structural terms
3-element vector of nonnegative numbers
Regularization constants for the luminance, contrast, and structural terms, specified as a 3-element vector of nonnegative numbers of the form
[c1 c2 c3]
. The ssim
function uses these regularization constants to avoid instability for image regions where the local mean or standard deviation is close to zero. Therefore, small non-zero values should be used for these constants.By default,
C1 = (0.01*L).^2
, whereL
is the specifiedDynamicRange
value.C2 = (0.03*L).^2
, whereL
is the specifiedDynamicRange
value.C3 = C2/2
Data Types:
single
| double
| int8
| int16
| int32
| uint8
| uint16
| uint32
Compute peak signal-to-noise ratio (PSNR) between images
Psnr Calculation In Matlab For Mac Free
Description
The PSNR block computes the peak signal-to-noise ratio, in decibels, between two images. This ratio is used as a quality measurement between the original and a compressed image. The higher the PSNR, the better the quality of the compressed, or reconstructed image.
The mean-square error (MSE) and the peak signal-to-noise ratio (PSNR) are used to compare image compression quality. The MSE represents the cumulative squared error between the compressed and the original image, whereas PSNR represents a measure of the peak error. The lower the value of MSE, the lower the error.
To compute the PSNR, the block first calculates the mean-squared error using the following equation:
In the previous equation, M and N are the number of rows and columns in the input images. Then the block computes the PSNR using the following equation:
In the previous equation, R is the maximum fluctuation in the input image data type. For example, if the input image has a double-precision floating-point data type, then R is 1. If it has an 8-bit unsigned integer data type, R is 255, etc.
Computing PSNR for Color Images
Different approaches exist for computing the PSNR of a color image. Because the human eye is most sensitive to luma information, you can compute the PSNR for color images by converting the image to a color space that separates the intensity (luma) channel, such as YCbCr. The Y (luma), in YCbCr represents a weighted average of R, G, and B. G is given the most weight, again because the human eye perceives it most easily. Compute the PSNR only on the luma channel.
Input
Input image, specified as scalar, vector, or matrix.
Data Types:
single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| Boolean
| fixed point
Input image, specified as scalar, vector, or matrix.
Data Types:
single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| Boolean
| fixed point
Output
Peak signal-to-noise ratio between images, returned as a scalar.
Dependencies
If the input is a fixed-point or integer data type, the block output is double-precision floating point. Otherwise, the block input and output are the same data type.
Data Types:
double
Model Examples
Compare the quality of a noisy and denoised image from the PSNR value computed using the
PSNR
block.Block Characteristics
Data Types | double | fixed point | integer | single |
Multidimensional Signals | no |
Variable-Size Signals | yes |
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
Generates code only for
double
or single
data types.Fixed-Point Conversion
Design and simulate fixed-point systems using Fixed-Point Designer™.
Introduced before R2006a