PSNR-HVS-M download page


PSNR-HVS-M is Peak Signal to Noise Ratio taking into account Contrast Sensitivity Function (CSF) and between-coefficient contrast masking of DCT basis functions.

Descriptions of PSNR-HVS and PSNR-HVS-M are given in following papers:

[1] K. Egiazarian, J. Astola, N. Ponomarenko, V. Lukin, F. Battisti, M. Carli, New full-reference quality metrics based on HVS, CD-ROM Proceedings of the Second International Workshop on Video Processing and Quality Metrics, Scottsdale, USA, 2006, 4 p.

[2] Nikolay Ponomarenko, Flavia Silvestri, Karen Egiazarian, Marco Carli, Jaakko Astola, Vladimir Lukin, On between-coefficient contrast masking of DCT basis functions, CD-ROM Proceedings of the Third International Workshop on Video Processing and Quality Metrics for Consumer Electronics VPQM-07, Scottsdale, Arizona, USA, 25-26 January, 2007, 4 p.

psnrhvsm.m (7 Kb) - Matlab source of PSNR-HVS-M and PSNR-HVS calculation.
msk_tset.zip (3.5 Mb) - set of test images.
vpqm07_p.pps (1.5 Mb) - powerpoint presentation of the VPQM-07 paper

Next table presents the correlation between considered metrics and data of subjective experiments [2]:

Measure Reference Spearman correlation Kendall correlation
PSNR-HVS-M N. Ponomarenko, F. Silvestri, K.Egiazarian, M. Carli, V. Lukin, On Between-Coefficient Contrast Masking of DCT Basis Functions, CD-ROM proceedings of Third International Workshop on Video Processing and Quality Metrics for Consumer Electronics VPQM-07, January, 2007, 4p 0.984 0.948
PSNR-HVS Egiazarian K., Astola J., Ponomarenko N., Lukin V., Battisti F., Carli M. New full-reference quality metrics based on HVS, CD-ROM Proceedings of the Second International Workshop on Video Processing and Quality Metrics, Scottsdale, USA, 2006, 4 p 0.895 0.712
NQM Damera-Venkata N., Kite T., Geisler W., Evans B. and Bovik A., Image Quality Assessment Based on a Degradation Model, IEEE Transactions on Image Processing, Vol. 9, 2000, pp. 636-650 0.857 0.673
DCTune Solomon J. A., Watson A. B., and Ahumada A., Visibility of DCT basis functions: Effects of contrast masking, Proceedings of Data Compression Conference, 1994, pp. 361-370
http://vision.arc.nasa.gov/dctune/ - DCTune 2.0 page		 0.829 0.712
UQI Wang Z., Bovik A., A universal image quality index, IEEE Signal Processing Letters, vol. 9, March, 2002, pp. 81-84 0.550 0.438
PSNR Peak Signal to Noise Ratio 0.537 0.359
VQM Xiao F., DCT-based Video Quality Evaluation, Final Project for EE392J, 2000 0.441 0.281
SSIM Wang Z., Bovik A., Sheikh H., Simoncelli E., Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing, vol.13, 2004, pp.600-612 0.406 0.358
VIF Sheikh H. R. and Bovik A. C., Image Information and Visual Quality, IEEE Transactions on Image Processing, vol. 15, February, 2006, pp. 430-444 0.377 0.255
PQS Miyahara, M., Kotani, K., Algazi, V.R., Objective picture quality scale (PQS) for image coding, IEEE Transactions on Communications, vol. 46, issue 9, 1998, pp. 1215-1226 0.302 0.242

An example of image having masked noise is given below:

baboon.png, 230 Kb

Original image Baboon

baboon_msk.png, 240 Kb

The image Baboon with masked noise, PSNR=26.18 dB, PSNR-HVS=34.43 dB, PSNR-HVS-M=51.67 dB

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Last changed: 2009-08-15.