Quality assessment for super-resolution image enhancement

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2017-2020

  Reibman, Amy R ^a   Bell, Robert M ^a   Gray, Sharon ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALIASING; IMAGE FORMATION MODELS; QUALITY ASSESSMENT; QUALITY METRICS; SUBJECTIVE QUALITY; SUBJECTIVE TESTS; SUPERRESOLUTION; VISUAL QUALITIES;

IMAGING SYSTEMS; OPTICAL RESOLVING POWER;

IMAGE ENHANCEMENT;

EID: 78649868617     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312895     Document Type: Conference Paper

References (22)

1. R. Y. Tsai and T. S. Huang, "Multiframe image restoration and registration", in Advances in Computer Vision and Image Processing, JAI Press, 1984, vol. 1, pp. 317-339.
2. M. Irani and S. Peleg, "Improving resolution by image registration", CVGIP, vol. 53, no. 3, pp. 231-239, May 1991.
3. M. K. Ozkan et. al., "POCS-based restoration of space-varying blurred images", IEEE Trans. Image Proc., vol. 3, pp. 450-454, 1994.
4. R. R. Schultz and R. L. Stevenson, "A Bayesian approach to image expansion for improved definition", IEEE Trans. Image Proc., vol. 3, no. 3, pp. 233-242, 1994.
5. B. C. Tom et. al., "Reconstruction of a high resolution image from registration and restoration of low resolution images", IEEE Int. Conf. Image Proc., vol. III, pp. 553-557, 1994.
6. N. Nguyen and P. Milanfar, "A wavelet-based interpolation- restoration method for superresolution", Circuits and Systemsfor Signal Processing, vol. 19, no. 4, pp. 321-338, 2000.
7. R. Willett et. al., "Wavelet-based superresolution in astronomy", Astronomical Data Analysis Software and Systems (ADASS), 2003.
8. S. C. Park et. al., "Super-resolution image reconstruction: A technical overview", IEEE Sig. Proc. Mag., vol. 20, no. 3, pp. 21-36, May 2003.
9. S. Baker and T. Kanade, "Limits on super-resolution and how to break them", IEEE Trans. Patt. Anal. and Mach. Intell., vol 24, no. 9, pp. 1167-1183, Sept. 2002.
10. Z. Lin and H.-Y. Shum, "Fundamental limits of reconstruction-based superresolution algorithms under local translation", IEEE Trans. Patt. Anal. and Mach. Intell., vol 26, no. 1, pp. 83-97, Jan. 2004.
11. M. Tanaka and M. Okutomi, "Theoretical analysis on reconstruction-based super-resolution for an arbitrary PSF", Int. Conf. on Computer Vision and Pattern Recog. (CVPR'05), June 2005.
12. D. Robinson and P. Milanfar, "Statistical performance analysis of super-resolution image reconstruction", Asilomar Conf., Nov. 2004.
13. F. Champagnat and G. Le Besnerais, "A Fourier interpretation of super-resolution techniques", Int. Conf. Image Proc. (ICIP'05), Sept. 2005.
14. A. R. Reibman and T. Schaper, "Subjective performance evaluation for super-resolution image enhancement", Second Int. Wkshp on Video Proc. and Qual. Metrics (VPQM'06), Jan. 2006.
15. Z. Wang et. al., "Image quality assessment: from error visibility to structural similarity", IEEE Trans. Image Proc., vol. 13, no. 4, pp. 600-612, April 2004.
16. P. Marziliano et. al., "Perceptual blur and ringing metrics: Application to JPEG2000", Sig. Proc.: Image Comm., pp. 163-172, Feb. 2004.
17. D. A. Silverstein and J. E. Farrell, "An efficient method for paired comparison", Journal Elec. Im., vol. 10, no. 2, pp. 394-398, April 2001.
18. R. A. Bradley, "Paired comparisons: Some basic procedures and examples", in Handbook of Statistics, Vol. 4, P. R. Krishnaiah and P. K. Sen, (eds.), Elsevier Science Publishers, pp. 299-326, 1984.
19. J. C. Handley, "Comparative analysis of Bradley-Terry and Thurstone-Mosteller paired comparison models for image quality assessment", Im. Proc., Im. Qual., Im. Capture Syst. Conf. (PICS'01) pp. 108-112, 2001.
20. N. Damera-Venkata et. al., "Image quality assessment based on a degradation model", IEEE Trans. Image Proc., vol. 9, no. 4, pp. 636-650, April 2000.
21. H. R. Sheikh et. al., "No-Reference Quality Assessment using Natural Scene Statistics: JPEG2000", IEEE Trans. on Image Proc., vol. 14, no. 11, pp. 1918-1927, Nov. 2005.
22. M. G. Kendall, Rank correlation methods, Hafner Publishing Co, New York, 1955.