Robust defocus blur identification in the context of blind image quality assessment

Signal Processing: Image Communication

Volumn 22, Issue 10, 2007, Pages 833-844

  Marais, Izak van Zyl ^a   Steyn, Willem Herman ^a  

^a STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

Blind deconvolution; Blur estimation; Quality estimation

Indexed keywords

BLIND EQUALIZATION; DECONVOLUTION; PARAMETER ESTIMATION; ROBUST CONTROL; SPECTRUM ANALYSIS;

BICEPSTRUM; BLIND DECONVOLUTION; BLUR ESTIMATION; QUALITY ESTIMATION;

IMAGE QUALITY;

EID: 35648992523     PISSN: 09235965     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.image.2007.06.003     Document Type: Article

References (26)

1. Ben-Ezra M., and Nayar S.K. Motion-based motion deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 26 6 (June 2004) 689-698
2. Cannon M. Blind deconvolution of spatially invariant image blurs with phase. IEEE Trans. Acoust. Speech Signal Process. ASSP-24 1 (February 1976) 58-63
3. Chang M.M., Tekalp A.M., and Erdem A.T. Blur identification using the bispectrum. IEEE Trans. Signal Process. 39 10 (October 1991) 2323-2325
4. Childers D., Skinner D., and Kemerait R. The cepstrum: a guide to processing. Proc. IEEE 65 10 (October 1977) 1428-1443
5. Damera-Venkata N., Kite T., Geisler W., Evans B., and Bovik A. Image quality assessment based on a degradation model. IEEE Trans. Image Process. 9 4 (April 2000) 636-650
6. Fabian R., and Malah D. Robust identification of motion and out-of-focus blur parameters from blurred and noisy images. CVGIP: Graph. Models Image Process. 53 5 (September 1991) 403-412
7. Gastaldo P., Zunino R., Heynderickx I., and Vicario E. Objective quality assessment of displayed images by using neural networks. Signal Process. Image Commun. 20 7 (2005) 643-661
8. Giannakis G.B., and Heath R.W.J. Blind identification of multichannel fir blurs and perfect image restoration. IEEE Trans. Image Process. 9 11 (November 2000) 1877-1896
9. Ginesu G., Massidda F., and Giusto D.D. A multi-factors approach for image quality assessment based on a human visual system model. Signal Process. Image Commun. 21 4 (April 2006) 316-333
10. Hou P., Petrou M., Underwood C., and Hojjatoleslami A. Improving JPEG performance in conjunction with cloud editing for remote sensing applications. IEEE Trans. Geosci. Remote Sensing 38 1 (January 2000) 515-524
11. Kundur D., and Hatzinakos D. Blind image deconvolution. IEEE Signal Process. Mag. 13 3 (May 1996) 43-64
12. Kundur D., and Hatzinakos D. Blind image deconvolution revisited. IEEE Signal Process. Mag. 13 6 (November 1996) 61-63
13. X. Li, Blind image quality assessment, in: Proceedings of the 2002 International Conference on Image Processing (Cat. No.02CH37396) vol. 1, 2002, pp. 449-452.
14. Lim J. Image restoration by short space spectral subtraction. IEEE Trans. Acoust. Speech Signal Process. ASSP-28 2 (April 1980) 198-204
15. Marziliano P., Dufaux F., Winkler S., and Ebrahimi T. Perceptual blur and ringing metrics: application to JPEG2000. Signal Process. Image Commun. 19 2 (February 2004) 163-172
16. Nikias C., and Raghuveer M. Bispectrum estimation: a digital signal processing framework. Proc. IEEE 75 7 (July 1987) 869-891
17. Olsen S. Estimation of noise in images: an evaluation. CVGIP: Graph. Models Image Process. 55 4 (July 1993) 319-323
18. Panchapakesan K., Sheppard D., Marcellin M., and Hunt B. Blur identification from vector quantizer encoder distortion. IEEE Trans. Image Process. 10 3 (March 2001) 465-470
19. Savakis A., Easton J., and L R. Blur identification based on higher order spectral nulls. Proc. SPIE-Int. Soc. Opt. Eng. 2302 (1994) 168-177
20. Sheikh H., Sabir M., and Bovik A. A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Trans. Image Process. 15 11 (November 2006) 3440-3451
21. Van der Weken D., Nachtegael M., and Kerre E. Combining neighbourhood-based and histogram similarity measures for the design of image quality measures. Image and Vision Comput. 25 2 (2007) 184-195
22. Welch D. The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. AU-15 3 (June 1967) 70-73
23. Wertz J., and Larson W. Space Mission Analysis and Design. third ed. (1999), Kluwer Academic Publishers, Dordrecht pp. 539-550
24. Yitzhaky Y., and Kopeika N. Identification of blur parameters from motion blurred images. Graph. Models Image Process. 59 5 (1997) 310-320
25. Yitzhaky Y., Milberg R., Yohaev S., and Kopeika N.S. Comparison of direct blind deconvolution methods for motion-blurred images. Appl. Opt. 38 20 (1999) 4325-4332
26. Yitzhaky Y., Mor I., Lantzman A., and Kopeika N. Direct method for restoration of motion-blurred images. J. Opt. Soc. Am. A Opt. Image Sci. Vision 15 6 (1998) 1512