A no-reference objective image sharpness metric based on the notion of Just Noticeable Blur (JNB)

IEEE Transactions on Image Processing

Volumn 18, Issue 4, 2009, Pages 717-728

  Ferzli, Rony ^a   Karam, Lina J ^a  

^a Arizona State University   (United States)

Author keywords

HVS; Image assessment; Image quality; No reference; Objective; Perception; Sharpness metric

Indexed keywords

HVS; IMAGE ASSESSMENT; NO-REFERENCE; OBJECTIVE; PERCEPTION; SHARPNESS METRIC;

IMAGE QUALITY;

EID: 63449099906     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.2011760     Document Type: Article

References (28)

1. Z. Wang, H. R. Sheikh, and A. C. Bovik, "Objective video quality assessment," in The Handbook of Video Databases: Design and Applications (B. Furht and O. Marqure). Boca Raton, FL: CRC, 2003, pp. 1041-1078.
2. Y. Horita, S. Arata, and T. Murai, "No-reference image quality assessment for JPEG/JPEG2000 coding," in Proc. EUSIPCO, 2004, pp. 1301-1304.
3. R. Ferzli and L. J. Karam, "No-reference objective wavelet based noise immune image sharpness metric," in Proc. IEEE Int. Conf. Image Processing, Sep. 2005, vol. 1, pp. 405-408.
4. J. G. Robson and N. Graham, "Probability summation and regional variation in contrast sensitivity across the visual field," Vis. Res., vol. 21, no. 3, pp. 409-418, 1981.
5. S. Erasmus and K. Smith, "An automatic focusing and astigmatism correction system for the SEM and CTEM," J. Microscopy, vol. 127, pp. 185-199, 1982.
6. C. F. Batten, "Autofocusing and Astigmatism Correction in the Scanning Electron Microscope," M.Phil. thesis, Univ. Cambridge, Cambridge, U.K., 2000.
7. P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, "Perceptual blur and ringing metrics: Applications to JPEG2000," Signal Process.: Image Commun., vol. 19, no. 2, pp. 163-172, Feb. 2004.
8. L. Firestone, K. Cook, N. Talsania, and K. Preston, "Comparison of autofocus methods for automated microscopy," Cytometry, vol. 12, pp. 195-206, 1991.
9. N. Zhang, A. Vladar, M. Postek, and B. Larrabee, "A kurtosis-based statistitcal measure for two-dimensional processes and its application to image sharpness," in Proc. Section of Physical and Engineering Sciences of American Statistical Society, 2003, pp. 4730-4736.
10. J. Caviedes and F. Oberti, "A new sharpness metric based on local kurtosis, edge and energy information," Signal Process.: Image Commun., vol. 19, no. 2, pp. 147-161, Feb. 2004.
11. N. K. Chern, N. P. A. Neow, and M. H. Ang, Jr, "Practical issues in pixel-based autofocusing for machine vision," in Proc. IEEE Int. Conf. Robotics and Automation, 2001, vol. 3, pp. 2791-2796.
12. X. Marichal, W. Ma, and H. J. Zhang, "Blur determination in the compressed domain using DCT information," in Proc. IEEE Int. Conf. Image Processing, Oct. 1999, vol. 2, pp. 386-390.
13. D. Shaked and I. Tastl, "Sharpness measure: Towards automatic image enhancement," in Proc. IEEE Int. Conf. Image Processing, Sep. 2005, vol. 1, pp. 937-940.
14. N. B. Nill and B. H. Bouzas, "Objective image quality measure derived from digital image power spectra," Opt. Eng., vol. 31, no. 4, pp. 813-825, Nov. 1992.
15. J. J. DePalma and E. M. Lowry, "Sine wave response of the visual system ii: Sine wave and square wave contrast sensitivity," J. Opt. Soc. Amer., vol. 52, no. 3, pp. 328-335, 1962.
16. J. A. Shagri, P. S. Cheatham, and A. Habibi, "Image quality based on human visual system model," Opt. Eng., vol. 28, no. 7, pp. 813-818, 1986.
17. E. P. Ong, W. S. Lin, Z. K. Lu, S. S. Yao, X. K. Yang, and L. F. Jiang, "No-reference quality metric for measuring image blur," in Proc. IEEE Int. Conf. Image Processing, Sep. 2003, pp. 469-472.
18. I. BT.500-8, Methodology for the Subjective Assessment of the Quality of Television Pictures 1998.
19. N. Jayant, J. Johnston, and R. Safranek, "Signal compression based on models of human perception," Proc. IEEE, vol. 81, no. 10, pp. 1385-1422, 1993.
20. C. Poyton, Digital Video and HDTV Algorithms and Interfaces. San Francisco, CA: Morgan Kaufmann, 2003.
21. R. Ferzli and L. J. Karam, "Human visual system based on no-reference objective image sharpness metric," in Proc. IEEE Int. Conf. Image Processing, Oct. 2006, pp. 2949-2952.
22. L. V. Scharff, A. Hill, and A. J. Ahumada, "Discriminability measures for predicting readability of text on textured backgrounds," Opt. Exp., vol. 6, pp. 81-91, Feb. 2000.
23. I. Hontsch and L. J. Karam, "Adaptive image coding with perceptual distortion control," IEEE Trans. Image Process., vol. 11, no. 3, pp. 213-222, Mar. 2002.
24. Z. Liu, L. J. Karam, and A. B.Watson, "JPEG2000 encoding with perceptual distortion control," IEEE Trans. Image Process., vol. 15, no. 7, pp. 1763-1778, Jul. 2006.
25. G. Wang, T.-T. Wong, and P.-A. Heng, "Deringing cartoons by image analogies," ACM Trans. Graph., vol. 25, no. 4, pp. 1360-1379, Oct. 2006.
26. H. R. Sheikh, A. C. Bovik, L. Cormack, and Z. Wang, LIVE Image Quality Assessment Database 2003 [Online]. Available: http://live.ece. utexas.edu/research/quality
27. VQEG, Final Report From the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment, Mar. 2000 [Online]. Available: http://www.vqeg.org/
28. D. Freedman, R. Pisani, and R. Purves, Statistics, 3rd ed. New York: W. W. Norton, 1997.