Blind and semi-blind deblurring of natural images

IEEE Transactions on Image Processing

Volumn 19, Issue 1, 2010, Pages 36-52

  Almeida, Mariana S C ^a   Almeida, Luís B ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Blind image deconvolution; Image deblurring; Image enhancement; Image restoration; Sparse distributions

Indexed keywords

BLIND IMAGE DECONVOLUTION; BLUR MODEL; COLOR IMAGES; DEBLURRING; EDGE DETECTORS; ILL-POSEDNESS; IMAGE DEBLURRING; IMAGE RESTORATION; LEARNING TECHNIQUES; MULTI-FRAME; NATURAL IMAGES; PRIOR INFORMATION; SEMI-BLIND; SPARSE DISTRIBUTION; STATE-OF-THE-ART METHODS;

CONVOLUTION; IMAGE RECONSTRUCTION; LEARNING ALGORITHMS; RESTORATION; SIGNAL TO NOISE RATIO;

IMAGE ENHANCEMENT;

EID: 72949095927     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2031231     Document Type: Article

References (56)

1. Y. P. Guo, H. P. Lee, and C. L. Teo, "Blind restoration of images degraded by space-variant blurs using iterative algorithms for both blur identification and image restoration," Image Vis. Comput., vol.15, no.5, pp. 399-410, 1997.
2. Y.-L. You and M. Kaveh, "Blind image restoration by anisotropic regularization," IEEE Trans. Image Process., vol.8, no.3, pp. 396-407, Mar. 1999.
3. M. Blume, D. Zikic, W. Wein, and N. Navab, "A new and general method for blind shift-variant deconvolution of biomedical images," in Proc. MICCAI (1), 2007, pp. 743-750.
4. M. Sorel and J. Flusser, "Space-variant restoration of images degraded by camera motion blur," IEEE Trans. Image Process., vol.17, no.1, pp. 105-116, Jan. 2008.
5. M. Welk, D. Theis, and J. Weickert, "Variational deblurring of images with uncertain and spatially variant blurs," in Proc. DAGM Symp., 2005, pp. 485-492.
6. A. Kubota and K. Aizawa, "Reconstructing arbitrarily focused images from two differently focused images using linear filters," IEEE Trans. Image Process., vol.14, no.11, pp. 1848-1859, Nov. 2005.
7. L. Bar, B. Berkels, M. Rumpf, and G. Sapiro, "A variational framework for simultaneous motion estimation and restoration of motion-blurred video," in Proc. IEEE 11th Int. Conf. Computer Vision, 2007, pp. 1-8.
8. M. S. C. Almeida and L. B. Almeida, "Blind deblurring of foreground- background images," presented at the Int. Conf. Image Processing, Cairo, Egypt, Nov. 2009.
9. R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman, "Removing camera shake from a single photograph," ACM Trans. Graph. (TOG), vol.25, pp. 787-794, 7 2006.
10. M. Bertero and P. Boccacci, Introduction to Inverse Problems in Imaging. Bristol, U.K.: IOP, 1998.
11. M. S. C. Almeida and L. B. Almeida, "Blind deblurring of natural images," in Proc. ICASSP, Las Vegas, NV, Mar. 2008, pp. 1261-1264.
12. M. Bertero and P. Boccacci, "Image restoration methods for the large binocular telescope," Astron. Astrophys. Suppl., vol.147, pp. 323-333, 2000.
13. J. P. Muller, Digital Image Processing in Remote Sensing. New York: Taylor & Francis, 1988.
14. S. Jefferies, K. Schulze, C. Matson, K. Stoltenberg, and E. K. Hege, "Blind deconvolution in optical diffusion tomography," Opt. Exp., vol.10, pp. 46-53, 2002.
15. A. M. Bronstein, M. M Bronstein, M. Zibulevsky, and Y. Y. Zeevi, "Quasi-maximum likelihood blind deconvolution of images acquired through scattering media," in Proc. ISBI, Apr. 2004, pp. 352-355, 4.
16. J. Markham and J. Conchello, "Parametric blind deconvolution: A robust method for the simultaneous estimation of image and blur," J. Opt. Soc. Amer. A, pp. 2377-2391, 1999.
17. D. Adam and O. Michailovich, "Blind deconvolution of ultrasound sequences using non-parametric local polynomial estimates of the pulse," IEEE Trans. Biomed. Eng., vol.42, no.2, pp. 118-131, Feb. 2002.
18. P. Pankajakshan, B. Zhang, L. Blanc-Feraud, Z. Kam, J.-C. Olivo- Marin, and J. Zerubia, "Blind deconvolution for diffraction-limited fluorescence microscopy," presented at the ISBI, 2008.
19. G. K. Chantas, N. P. Galatsanos, and A. C. Likas, "Bayesian restoration using a new nonstationary edge-preserving image prior," IEEE Trans. Image Process., vol.15, no.10, pp. 2987-2997, Oct. 2006.
20. J. A. Guerrero-Colon and J. Portilla, "Deblurring-by-denoising using spatially adaptive gaussian scale mixtures in overcomplete pyramids," in Proc. IEEE Int. Conf. Image Processing, Atlanta, GA, Oct. 2006, pp. 625-628.
21. L. Bar, N. Kiryati, and N. Sochen, "Image deblurring in the presence of impulsive noise," Int. J. Comput. Vis., vol.70, no.3, pp. 279-298, Mar. 2006.
22. V. Katkovnik, K. Egiazariana, and J. Astola, "A spatially adaptive nonparametric regression image deblurring," IEEE Trans. Image Process., vol.14, no.10, pp. 1469-1478, Oct. 2005.
23. G. Chantas, N. Galatsanos, A. Likas, and M. Saunders, "Variational bayesian image restoration based on a product of t-distributions image prior," IEEE Trans. Image Process., vol.17, no.10, pp. 1795-1805, Oct. 2008.
24. D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Sig. Process. Mag., pp. 43-64, May 1996.
25. P. Campisi and K. Egiazarian, Blind Image Deconvolution: Theory and Applications. Boca Raton, FL: CRC, 2007.
26. H. Yin and I. Hussain, "Blind source separation and genetic algorithm for image restoration," presented at the ICAST, Islamabad, Pakistan, Sep. 2006.
27. F. Krahmer, Y. Lin, B. McAdoo, K. Ott, J. Wang, D. Widemannk, and B. Wohlberg, Blind Image Deconvolution: Motion Blur Estimation, Tech Rep., Univ. Minnesota, 2006.
28. J. Oliveira, M. Figueiredo, and J. Bioucas-Dias, "Blind estimation of motion blur parameters for image deconvolution," presented at the Iberian Conf. Pattern Recognition and Image Analysis, Girona, Spain, Jun. 2007.
29. S. Chang, S. W. Yun, and P. Park, "PSF search algorithm for dualexposure typeblurred," Int. J. Appl. Sci., Eng., Technol., vol.4, no.1, pp. 1307-4318, 2007.
30. S. D. Babacan, R. Molina, and A. K. Katsaggelos, "Variational bayesian blind deconvolution using a total variation prior," IEEE Trans. Image Process., vol.18, no.1, pp. 12-26, Jan. 2009.
31. K.-H. Yap, L. Guan, and W. Liu, "A recursive soft-decision approach to blind image deconvolution," IEEE Trans. Signal Process., vol.51, no.2, Feb. 2003.
32. L. Justen and R. Ramlau, "A non-iterative regularization approach to blind deconvolution," Inst. Phys. Pub. Inv. Probl., vol.22, pp. 771-800, 2006.
33. A. S. Carasso, "Direct blind deconvolution," SIAM J. Appl. Math., 2001.
34. A. S. Carasso, "The APEX method in image sharpening and the use of low exponent Évy stable laws," SIAM J. Appl. Math., vol.63, no.2, pp. 593-618, 2002.
35. R. Molina, J. Mateos, and A. K. Katsaggelos, "Blind deconvolution using a variational approach to parameter, image, and blur estimation," IEEE Trans. Image Process., vol.15, no.12, pp. 3715-3727, Dec. 2006.
36. Y.-L. You and M. Kaveh, "A regularization approach to joint blur identification and image restoration," IEEE Trans. Image Process., vol.5, no.3, pp. 416-428, Mar. 1996.
37. T. F. Chan and C.-K. Wong, "Total variation blind deconvolution," IEEE Trans. Image Process., vol.7, no.3, Mar. 1998.
38. L. He, A. Marquina, and S. J. Osher, "Blind deconvolution using TV regularization and bregman iteration," Int. J. Imag. Syst. Technol., vol.15, pp. 74-83, 2005.
39. R. Kaftory and N. Sochen, "Variational blind deconvolution of multichannel images," Int. J. Imag. Syst. Technol., vol.15, no.1, pp. 55-63, 2005.
40. G. Panci, P. Campisi, S. Colonnese, and G. Scarano, "Multi-channel blind image deconvolution using the bussgang algo-rithm: Spatial and multiresolution approaches," IEEE Trans. Image Process., vol.12, no.11, pp. 1324-1337, Nov. 2003.
41. F. Sroubek and J. Flusser, "Multichannel blind deconvolution of spatially misaligned images," IEEE Trans. Image Process., vol.14, no.7, pp. 874-883, Jul. 2005. (Pubitemid 40889982)
42. L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, "Blurred/no-blurred image alignment using kernel sparseness prior," presented at the ICCV, 2007.
43. V. Katkovnik, D. Paliy, K. Egiazarian, and J. Astola, "Frequency domain blind deconvolution in multiframe imaging using anisotropic spatially- adaptive denoising," presented at the EUSIPCO, Florence, Italy, Sep. 2006.
44. L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, "Image deblurring with blurred/noisy image pairs," presented at the Int. Conf. Computer Graphics and Interactive Techniques, San Diego, CA, 2007.
45. M. M. Bronstein, A. M. Bronstein, and M. Zibulevsky, "Blind deconvolution of images using optimal sparse representations," IEEE Trans. Image Process., vol.14, no.6, pp. 726-735, Jun. 2005.
46. D. Li, R. M. Mersereau, and S. Simske, "Blind image deconvolution through support vector regression," IEEE Trans. Neural Netw., vol.18, no.3, May 2007.
47. I. Aizenberg, D. V. Paliy, J. M. Zurada, and J. T. Astola, "Blur identification by multilayer neural network based on multivalued neurons," IEEE Trans. Neural Netw., vol.19, no.5, pp. 883-898, May 2008.
48. L. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Phys. D, vol.60, pp. 259-268, 1992.
49. L. G. Shapiro and G. C. Stockman, Computer Vision. Englewood Cliffs, NJ: Prentice-Hall, 2001, ch. 5.
50. L. G. Roberts, Machine Perception on Three-Dimensional Solids, Tech. Rep. Massachusetts Inst. Technol., Lexington Lab., 1963.
51. M. S. Prewitt, "Object enhancement and extraction," Picture Process. Psychopictorics, 1970.
52. L. S. Davis, "A survey of edge detection techniques," Comput. Graph. Image Process., vol.4, pp. 248-270, 1973.
53. M. Nikolova, "Analysis of the recovery of edges in images and signals by minimizing nonconvex regularized least-squares," SIAM J. Multiscale Model. Simul., vol.4, no.3, pp. 960-991, 2005.
54. L. Almeida, "Multilayer perceptrons," in Handbook of Neural Computation, E. Fiesler and R. Beale, Eds. Bristol, U.K.: IOP, 1997 [Online]. Available: http://www.lx.it.pt/~lbalmeida/papers/AlmeidaHNC.pdf
55. S. D. Babacan, R. Molina, and A. K. Katsaggelos, "Parameter estimation in TV image restoration using variational distribution approximation," IEEE Trans. Image Process., vol.17, no.3, pp. 326-339, Mar. 2008.
56. P. C. Hansen, The L-Curve and Its Use in the Numerical Treatment of Inverse Problems, ser. Advances in Computational Bioengineering. Southampton, U.K.: WIT Press, 2001.