Image Error Measurements

Measures the differences between 2 images, and measurement of image quality.

main executing reference usage: usage_errorMeasurementsOfImages.m

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The objective is to measure the differences between 2 images, and measurement of image quality.

1. Mean squared error, MSE

2. Root Mean squared error, RMSE

3. Peak signal to signal noise ratio, PSNR

4. Mean absolute error, MAE

5. Signal to signal noise ratio, SNR

6. Universal Image Quality Index

7. Enhancement Measurement Error, EME

8. Pearson Correlation Coefficient

Sample output:

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PSNR = +13.81915 dB

MSE = 108.53790

RMSE = 10.41815

Universal Image Quality Index = 0.16077

EME (original image) = 14.50599

EME (noisy image) = 8.48040

PearsonCorrelationCoefficient (originalImage vs noisyImage) = 30959.27033

PearsonCorrelationCoefficient (originalImage vs originalImage) = 50624.00000

SNR = -10.28091 dB

MAE = 19.82882

Caveat: For reference purposes.

The author also recommends:

http://www.mathworks.co.uk/matlabcentral/fileexchange/25005-image-picture-quality-measures

The author appreciates suggestions and errata. Please do not hesitate to send suggestions and feedback for improvement for the framework construction to the email provided.

Thank you.

Regards,

Michael Chan JT