Psnr Calculation In Matlab For Mac
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- Psnr Image
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How to calculate PSNR of a double sized image. Learn more about matlab, digital image processing, image processing, signal processing. The psnr function implements this equation to calculate PSNR: P S N R = 10 log 10 (p e a k v a l 2 / M S E) peakval is either specified by the user or taken from the range of the image data type. Run the command by entering it in the MATLAB Command Window.
Evaluation of PSNR Lin Zhang, Dept. Computing, The Hong Kong Polytechnic University |
Matlab For Mac Student
Introduction
PSNR (Peak Singal-to-Noise Ratio) index is a traditional IQA metric.
Source Code
We used the PSNR implementation provided by Dr. Zhou Wang, which can be downloaded here https://ece.uwaterloo.ca/~z70wang/research/iwssim/psnr_mse.m.
Usage Notes
1. This implementation can only deal with gray-scale images. So, you need to convert the RGB image to the grayscale version, which can be accomplished by rgb2gray in Matlab.
Evaluation Results
The results (in Matlab .mat format) are provided here. Each result file contains a n by 2 matrix, where n denotes the number of distorted images in the database. The first column is the PSNR values, and the second column is the mos/dmos values provided by the database. For example, you can use the following matlab code to calculate the SROCC and KROCC values for PSNR values obtained on the TID2008 database:
Octave For Mac
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matData = load('PSNROnTID.mat');
PSNROnTID= matData.PSNROnTID;
PSNR_TID_SROCC = corr(PSNROnTID(:,1), PSNROnTID(:,2), 'type', 'spearman');
PSNR_TID_KROCC = corr(PSNROnTID(:,1), PSNROnTID(:,2), 'type', 'kendall');
%%%%%%%%%%%%%%%
The source codes to calculate the PLCC and RMSE are also provided for each database. This needs a nonlinear regression procedure which is dependant on the initialization of the parameters. We try to adjust the parameters to get a high PLCC value. For different databases, the parameter initialization may be different. The nonlinear fitting function is of the form as described in [1].
Evaluation results of PSNR on seven databases are given below. Besides, for each evaluation metric, we present its weighted-average value over all the testing datasets; and the weight for each database is set as the number of distorted images in that dataset.
Database | Results | Nonlinear fitting code | SROCC | KROCC | PLCC | RMSE |
TID2008 HP LaserJet Pro M254dw. If you are looking for efficiency without spending plenty of bucks, go for. Lazors for mac. | PSNROnTID | NonlinearFittingTID | 0.5531 | 0.4027 | 0.5734 | 1.0994 |
CSIQ | PSNROnCSIQ | NonlinearFittingCSIQ | 0.8058 | 0.6084 | 0.8000 | 0.1575 |
LIVENeon abyss soundtrack crack. | PSNROnLIVE | NonlinearFittingLIVE | 0.8756 | 0.6865 | 0.8723 | 13.3597 |
IVC | NonlinearFittingIVC | 0.6884 | 0.5218 | 0.7196 | 0.8460 | |
Toyama-MICT | 0.6132 | 0.4443 | 0.6429 | 0.9585 | ||
A57 | 0.6189 | 0.4309 | 0.7073 | 0.1737 | ||
WIQ | 0.6257 | 0.4626 | 0.7939 | 14.1381 | ||
Weighted-Average | 0.6874 | 0.5161 | 0.7020 |
Reference
Psnr Image
[1] H.R. Sheikh, M.F. Sabir, and A.C. Bovik, 'A statistical evaluation of recent full reference image quality assessment algorithms', IEEE Trans. on Image Processing, vol. 15, no. 11, pp. 3440-3451, 2006.
Created on: May. 08, 2011
Psnr Calculation In Matlab For Mac Pdf
Last update: Aug. 04, 2011