A statistical evaluation of recent full reference image quality assessment algorithms

IEEE Transactions on Image Processing

Volumn 15, Issue 11, 2006, Pages 3440-3451

  Sheikh, Hamid R ^a,b   Sabir, Muhammad F ^a   Bovik, Alan Conrad ^a  

^a The University of Texas at Austin   (United States)

^b TEXAS INSTRUMENTS   (United States)

Author keywords

Image quality assessment performance; Image quality study; Subjective quality assessment

Indexed keywords

ALGORITHMS; IMAGE UNDERSTANDING; STATISTICAL METHODS; SUBJECTIVE TESTING; VISION;

FULL-REFERENCE IMAGE QUALITY ASSESSMENT ALGORITHMS; SUBJECTIVE QUALITY ASSESSMENT; VISUAL QUALITY;

IMAGE QUALITY;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; QUALITY CONTROL; STATISTICAL ANALYSIS; VALIDATION STUDY;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; QUALITY CONTROL; SOFTWARE; SOFTWARE VALIDATION;

EID: 33750369245     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.881959     Document Type: Article

References (28)

1. H. R. Sheikh, Z. Wang, L. Cormack, and A. C. Bovik, LIVE Image Quality Assessment Database, Release 2 2005 [Online]. Available: http://live. ece.utexas.edu/research/quality
2. Final Report From the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment VQEG, Mar. 2000 [Online]. Available: http://www.vqeg.org/
3. A. M. Eskicioglu and P. S. Fisher, "Image quality measures and their performance," IEEE Trans. Commun., vol. 43, no. 12, pp. 2959-2965, Dec. 1995.
4. D. R. Fuhrmann, J. A. Baro, and J. R. Cox, Jr., "Experimental evaluation of psychophysical distortion metris for JPEG- encoded images," J. Electron. Imag., vol. 4, pp. 397-406, Oct. 1995.
5. I. Avcibaş, B. Sankur, and K. Sayood, "Statistical evaluation of image quality measures," J. Electron. Imag., vol. 11, no. 2, pp. 206-23, Apr. 2002.
6. B. Li, G. W. Meyer, and R. V. Klassen, "A comparison of two image quality models," Proc. SPIE, vol. 3299, pp. 98-109, 1998.
7. S. Daly, "The visible difference predictor: An algorithm for the assessment of image fidelity," in Digital Images and Human Vision, A. B. Watson, Ed. Cambridge, MA: The MIT Press, 1993, pp. 179-206.
8. J. Lubin, "A visual discrimination mode for image system design and evaluation," in Visual Models for Target Detection and Recognition, E. Peli, Ed. Singapore:: World Scientific, 1995, pp. 207-220.
9. A. Mayache, T. Eude, and H. Cherifi, "A comparison of image quality models and metrics based on human visual sensitivity," in Proc. IEEE Int. Conf. Image Processing, 1998, pp. 409-413.
10. Z. Wang and E. Simoncelli, "Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics," Proc. SPIE, vol. 5292, pp. 99-108, 2004.
11. D. J. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures, 2nd ed. Boca Raton, FL: Chapman & Hall/CRC, 2000.
12. VQEG: The Video Quality Experts Group, [Online]. Available: http://www.vqeg.org/
13. D. S. Taubman and M. W. Marcellin, JPEG2000: Image Compression Fundamentals, Standards, and Practice. Norwell, MA: Kluwer, 2001.
14. Methodology for the Subjective Assessment of the Quality for Television Pictures, ITU-R Rec. BT. 500-11.
15. Final Report From the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment, Phase II VQEG, Aug. 2003 [Online]. Available: http://www.vqeg.org/
16. A. M. van Dijk, J. B. Martens, and A. B. Watson, "Quality assessment of coded images using numerical category scaling," Proc. SPIE, vol. 2451, pp. 90-101, Mar. 1995.
17. I. Avcibaş, B. Sankur, and K. Sayood [Online]. Available: http://www.busim.ee.boun.edu.tr/image/Image'and'Video.html
18. D. V. Weken, M. Nachtegael, and E. E. Kerre, "Using similarity measures and homogeneity for the comparison of images," Image Vis. Comput., vol. 22, pp. 695-702, 2004.
19. JNDmetrix Technology Sarnoff Corp., evaluation Version, 2003 [Online]. Available: http://www.sarnoff.com/products-services/video-vision/ jndmetrix/downloads.asp
20. A. B. Watson, "DCTune: A technique for visual optimization of DCT quantization matrices for individual images," Soc. Inf. Display Dig. Tech. Papers, vol. XXIV, pp. 946-949, 1993.
21. M. Miyahara, K. Kotani, and V. R. Algazi, "Objective Picture Quality Scale (PQS) for image coding," IEEE Trans. Commun., vol. 46, no. 9, pp. 1215-1225, Sep. 1998.
22. CIPIC PQS ver. 1.0, [Online]. Available: http://msp.cipic.ucdavis. edurestes/ftp/cipic/code/pqs, available at
23. N. Damera-Venkata, T. D. Kite, W. S. Geisler, B. L. Evans, and A. C. Bovik, "Image quality assessment based on a degradation model," IEEE Trans. Image Process., vol. 4, no. 4, pp. 636-650, Apr. 2000.
24. Z. Wang, E. P. Simoncelli, and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," presented at the IEEE Asilomar Conf. Signals, Systems, and Computers, Nov. 2003.
25. H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An information fidelity criterion for image quality assessment using natural scene statistics," IEEE Trans. Image Process., vol. 14, no. 12, pp. 2117-2128, Dec. 2005.
26. H. R. Sheikh and A. C. Bovik, "Image information and visual quality," IEEE Trans. Image Process., vol. 15, no. 2, pp. 430-444, Feb. 2006.
27. D. C. Montgomery and G. C. Runger, Applied Statistics and Probability for Engineers. New York: Wiley-Interscience, 1999.
28. Electronic Statistics Textbook, WEB. Tulsa, OK: StatSoft, 2004 [Online]. Available: http://www.statsoft.com/textbook/stathome.html