Quality Assessment Toolbox (v1.10)
For computing of different reconstructed image quality metrics. Used in most of the other toolboxes.
Functions
This toolbox consists of the following functions:
- iq_measures - Image Quality Measures - various measures of reconstructed image quality
- image_show - Displays image, with additional parameters
- pqs - Script that runs PQS (Picture Quality Scale) image quality measure
Examples
iq_measures:
>> A = imread('Lena256.png');
>> B = double(A) + rem(magic(256),5) - 2;
>> [MSE,PSNR,AD,SC,NK,MD,LMSE,NAE] = iq_measures(A,B,'disp');
MSE (Mean Squared Error) = 1.999985
PSNR (Peak Signal / Noise Ratio) = 45.120537 dB
AD (Average Difference) = 0.000015
SC (Structural Content) = 0.999893
NK (Normalised Cross-Correlation) = 0.999997
MD (Maximum Difference) = 2.000000
LMSE (Laplacian Mean Squared Error) = 0.035148
NAE (Normalised Absolute Error) = 0.009669
