No-reference blur assessment of digital pictures based on multifeature classifiers

IEEE Transactions on Image Processing

Volumn 20, Issue 1, 2011, Pages 64-75

  Ciancio, Alexandre ^a   Da Costa, Andre Luiz N Targino ^a   Da Silva, Eduardo A B ^a   Said, Amir ^b   Samadani, Ramin ^b   Obrador, Pere ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

Blur; image quality assessment

Indexed keywords

BLUR; BLUR IMAGES; BLURRED IMAGE; DIGITAL PICTURE; GAUSSIANS; GROUND TRUTH; HIGH QUALITY; HUMAN USERS; IMAGE QUALITY ASSESSMENT; LINEAR MOTION; LOW-LEVEL IMAGE FEATURES; NEURAL NETWORK STRUCTURES; NO REFERENCES; OTHER ALGORITHMS; QUALITY ASSESSMENT; REAL IMAGES; SUBJECTIVE TESTS;

ALGORITHMS; CLASSIFIERS; NEURAL NETWORKS; RATING;

IMAGE QUALITY;

EID: 79551543224     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2053549     Document Type: Article

References (45)

1. M. Cannon, "Blind deconvolution of spatially invariant image blurs with phase," IEEE Trans. Acoust., Speech Signal Process., vol. ASSP-24, no. 1, pp. 58-63, Feb. 1976.
2. A. M. Tekalp, H. Kaufman, and J. W. Woods, "Identification of image an blur parameters for the restoration of non-causal blurs," IEEE Trans. Acoust., Speech Signal Process., vol. ASSP-34, no. 4, pp. 963-972, Aug. 1986.
3. T. F. Chan and C. K. Wong, "Total variation blind deconvolution," IEEE Trans. Image Process., vol. 7, no. 3, pp. 370-375, Mar. 1998.
4. G. Pavlovic and M. Tekalp, "Maximum-likelihood parametric blur identification based on a continuous spatial domain model," IEEE Trans. Image Process., vol. 1, no. 4, pp. 496-504, Oct. 1992.
5. S. K. Kim and J. K. Paik, "Out-of-focus blur estimation and restoration for digital auto-focusing system," IEEE Electron. Lett., vol. 34, no. 12, pp. 1217-1219, Jun. 1998.
6. S. K. Kim, S. R. Park, and J. K. Paik, "Simultaneous out-of-focus blur estimation and restoration fordigital auto-focusing system," IEEE Trans. Consum. Electron., vol. 44, no. 3, pp. 1071-1075, Aug. 1998.
7. Y.-L. You and M. Kaveh, "Blind image restoration by anisotropic reg-ularization," IEEE Trans. Image Process., vol. 8, no. 3, pp. 396-407, Mar. 1999.
8. G. Bonmassar and E. L. Schwartz, "Real-time restoration of images degraded by uniform motion blur infoveal active vision systems," IEEE Trans. Image Process., vol. 8, no. 12, pp. 1838-1842, Dec. 1999.
9. R. Nakagaki and A. K. Katsaggelos, "A VQ-based blind image restoration algorithm," IEEE Trans. Image Process., vol. 12, no. 9, pp. 1044-1053, Sep. 2003.
10. K. Panchapakesan, D. Shepard, M. Marcellin, and B. Hunt, "Blur identification from vector quantizer encoder distortion," IEEE Trans. Image Process., vol. 10, no. 3, pp. 465-470, Mar. 2001.
11. I. Aizenberg, C. Butakoff, V. Karanaukhov, N. Merzlyakov, and O. Milukova, "Blur image restoration using the type of blur and blur parameters identification on the neural network," in Proc. SPIE Conf., May 2002, vol. 4667, pp. 460-471.
12. I. Aizenberg, T. Bregin, C. Butakov, V. Karnaukhov, N. Merzlyakov, and O. Milyukova, "Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration," in Proc. Int. Conf. Artif. Neural Netw., 2002, pp. 1231-1236.
13. J. W. Choi, M. G. Kang, and K. T. Park, "An algorithm to extract camera-shaking degree and noise variance in the peak-trace domain," IEEE Trans. Consum. Electron., vol. 44, no. 3, pp. 1159-1168, Apr. 1998.
14. S. U. Pillai and B. Liang, "Blind image deconvolution using a robust gcd approach," IEEE Trans. Image Process., vol. 8, no. 2, pp. 295-301, Feb. 1999.
15. X. Liu, M. Li, H. Zhang, and D. Wang, "Bayesian motion blur identification using blur priori," in Proc. Int. Conf. Image Process., 2003, pp. 957-960.
16. J. B. Martens, "Multidimensional modeling of image quality," Proc. IEEE, vol. 90, no. 1, pp. 133-153, Jan. 2002.
17. 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, Eds. Boca Raton, FL: CRC Press, Sep. 2003, pp. 1041-1078.
18. Z. Wang, G. Wu, H. R. Sheikh, E. P. Simoncelli, E.-H. Yang, and A. C. Bovik, "Quality-aware images," IEEE Trans. Image Process., vol. 15, no. 6, pp. 1680-1689, Jun. 2006.
19. I. Avcibas, B. Sankur, and K. Sayood, "Statistical analysis of image quality measures," J. Electron. Imag., vol. 11, pp. 206-223, Apr. 2002.
20. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
21. 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.
22. M. A. Masry and S. S. Hemami, "A metric for the continuous evaluation of compressed video with severe distortions," Signal Process.: Image Commun., vol. 19, Special Issue on Video Quality, no. 2, pp. 163-172, Feb. 2004.
23. M. A. Masry,S. S.Hemami, and Y. Sermadevi, "Awavelet-based video distortion metric and applications," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 2, pp. 260-273, Feb. 2006.
24. P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, "Perceptual blur and ringing metrics: Application to JPEG2000," Signal Process.: Image Commun., vol. 19, no. 2, pp. 163-172, Feb. 2004.
25. R. Ferzli and L. J. Karam, "No-reference objective wavelet based noise immune image sharpness metric.," in Proc. Int. Conf. Image Process., 2005, pp. 405-408.
26. R. Ferzli and L. J. Karam, "A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)," IEEE Trans. Image Process., vol. 18, no. 4, pp. 717-728, Apr. 2009.
27. R. Ferzli and L. J. Karam, "A human visual system based no-reference objective image sharpness metric.," in Proc. Int. Conf. Image Process., 2006, pp. 2549-2952.
28. X. Marichal, W.-Y. Ma, and H. Zhang, "Blur determination in the compressed domain using DCT information," in Proc. Int. Conf. Image Process., 1999, vol. 2, pp. 286-390.
29. H. Tong, M. Li, H. Zhang, and C. Zhang, "Blur detection for digital images using wavelet transform," in Proc. IEEE Int. Conf. Multimedia Expo, Jun. 2004, vol. 1, pp. 17-20.
30. BID-Blurred Image Database [Online]. Available: http://www.lps. ufrj.br/profs/eduardo/ImageDatabase.htm
31. Methodology for the Subjective Assessment of Quality of Television Pictures ITU-R 500 Recommendation.
32. S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 1999.
33. A.Ciancio, A. N.Targino,E. A. B. da Silva, A. Said, P. Obrador, and R. Samadani, "Objective no-reference image quality metric based on local phase coherence," IET Electron. Lett., vol. 45, no. 23, pp. 1162-1163, Nov. 2009.
34. Z. Wang and E. P. Simoncelli, "Local phase coherence and the perception of blur," presented at the Adv. Neural Information Process. Syst., 2003.
35. P. Bao and L. Zhang, "Noise reduction for magnetic resonance images via adaptive multiscale products thresholding," IEEE Trans. Med. Imag., vol. 22, no. 9, Sep. 2003.
36. S. Mallat and S. Zhong, "Characterization of signals from multiscale edges," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 7, pp. 710-732, Jul. 1992.
37. A. K. Jain, Fundamentals of Digital Image Processing. Upper Saddle River, NJ: Prentice-Hall, 1989.
38. J. L. Mannos and D. J. Sakrison, "The effects of a visual fidelity criterion on the encoding of images," IEEE Trans. Inf. Theory, vol. IT-20, no. 4, pp. 525-536, Jul. 1974.
39. 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
40. H. R. Sheikh, A. C. Bovik, and L. Cormack, "No-reference quality assessment using natural scene statistics: JPEG2000," IEEE Trans. Image Process., vol. 14, no. 11, pp. 1918-1927, Nov. 2005.
41. J. Myers and A. Well, Research Design and Statistical Analysis. Evanston, IL: Routledge, 2002.
42. A. Gruber, J. Mock, J. Fent, W. Frochtenicht, C. M. Kiesling, T. Kobler, P. Ribarics, D. Goldner, H. Kolanoski, and T. Kramerkamper, Performance of Backpropagation Networks in the Second Level Trigger of the H1-Experiment 1994.
43. R. Kohavi, "A study of cross-validation and bootstrap for accuracy estimation and model selection," in Proc. Int. Joint Conf. Artif. Intell., Aug. 1995, pp. 1137-1143.
44. M. Stone, "Cross-validatory choice and assessment of statistical predictions," J. Roy. Statist. Soc. B, vol. 36, pp. 111-147, 1974.
45. A. M. Zoubir and B. Boashash, "The bootstrap and its application in signal processing," IEEE Signal Process. Mag., vol. 15, no. 1, pp. 56-76, Jan. 1998.