Joint blind restoration and surface recovery in photometric stereo

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 22, Issue 6, 2005, Pages 1066-1076

  Joshi, Manjunath V ^a   Chaudhuri, Subhasis ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ESTIMATION; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; IMAGE RECONSTRUCTION; LIGHT REFLECTION; MARKOV PROCESSES; MATHEMATICAL MODELS; PHOTOMETRY;

BLURRING EFFECTS; JOINT BLIND RESTORATION; PHOTOMETRIC STEREO; SURFACE RECOVERY;

STEREO VISION;

ALGORITHM; ARTICLE; ARTIFACT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PHOTOGRAPHY; PHOTOMETRY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAMMETRY; PHOTOMETRY;

EID: 20844460577     PISSN: 10847529     EISSN: None     Source Type: Journal    
DOI: 10.1364/JOSAA.22.001066     Document Type: Article

References (48)

1. B. K. P. Horn, "Shape from shading: a method for obtaining the shape of a smooth opaque object from one view," Ph.D. thesis (Massachussetts Institute of Technology, Cambridge, Mass., 1970).
2. K. Ikeuchi and B. K. P. Horn, "Numerical shape from shading and occluding boundaries," Artif. Intell. 17, 141-184 (1981).
3. A. P. Pentland, "Local shading analysis," IEEE Trans. Pattern Anal. Mach. Intell. 6, 170-187 (1984).
4. A. P. Pentland, "Shape information from shading: a theory about human perception," in Proceedings of the International Conference on Computer Vision (IEEE Computer Society Press, Los Alamitos, Calif., 1988), pp. 404-413.
5. P. S. Tsai and M. Shah, "Shape from shading using linear approximation," Image Vis. Comput. 12, 487-498 (1994).
6. R. J. Woodham, "Reflectance map techniques for analyzing surface defects in metal castings," Tech. Rep. 457 (MIT Artificial Intelligence Laboratory, Cambridge, Mass., 1978).
7. R. J. Woodham, "Photometric method for determining surface orientation from multiple images," Opt. Eng. (Bellingham) 19, 139-144 (1980).
8. K. Ikeuchi, "Determining surface orientations of specular surfaces by using the photometric stereo method," IEEE Trans. Pattern Anal. Mach. Intell. 3, 661-669 (1981).
9. W. M. Silver, "Determining shape and reflectance using multiple images," M.S. thesis (Massachusetts Institute of Technology, Cambridge, Mass., 1980).
10. K. M. Lee and C. C. Jay Kuo, "Shape reconstruction from photometric stereo," in Proceedings of the International Conference on Computer Vision and Pattern Recognition (IEEE Computer Society Press, Los Alamitos, Calif., 1992), pp. 479-484.
11. C. Y. Chen, R. Klette, and R. Kakarala, "Albedo recovery using a photometric stereo approach," in Proceedings of the International Conference on Pattern Recognition (IEEE Computer Society Press, Los Alamitos, Calif., 2002), pp. 700-703.
12. Y. Iwahori, R. J. Woodham, M. Ozaki, H. Tanaka, and N. Ishi, "Neural network based photometric stereo with a nearby rotational moving light source," IEICE Trans. Inf. Syst. E-80-D, 948-957 (1997).
13. Y. Iwahori, R. J. Woodhan, and A. Bagheri, "Principal component analysis and neural network implementation of Photometric Stereo," in Proceedings of the Workshop on Physics based Modeling in Computer Vision (IEEE Computer Society Press, Los Alamitos, Calif., 1995), pp. 117-125.
14. R. J. Woodham, "Gradient and curvature from the photometric stereo method including local confidence estimation," J. Opt. Soc. Am. A 11, 3050-3068 (1994).
15. Y. Iwahori, R. J. Woodham, Y. Watanabe, and A. Iwata, "Self calibration and neural network implementation of photometric stereo," in Proceedings of the International Conference on Pattern Recognition (IEEE Computer Society Press, Los Alamitos, Calif., 2002), pp. 359-362.
16. O. Drbohlav and R. Sara, "Unambiguous determination of shape from photometric stereo with unknown light sources," in Proceedings of the International Conference on Computer Vision (IEEE Computer Society Press, Los Alamitos, Calif., 2001), pp. 581-586.
17. R. Basri and D. Jacobs, "Photometric stereo with general unknown lighting," in Proceedings of the International Conference on Computer Vision and Pattern Recognition (IEEE Computer Society Press, Los Alamitos, Calif., 2001), pp. 374-381.
18. U. Sakarya and I. Erkmen, "An improved method of photometric stereo using local shape from shading," Image Vis. Comput. 21, 941-954 (2003).
19. J. J. Clark, "Active photometric stereo," in Proceedings of the International Conference on Computer Vision and Pattern Recognition (IEEE Computer Society Press, Los Alamitos, Calif., 1992), pp. 29-34.
20. J. R. A. Torreao, "A new approach to photometric stereo," Pattern Recogn. Lett. 20, 535-540 (1999).
21. G. McGunnigle and M. J. Chantler, "Rotation invariant classification of rough surfaces," IEE Proc. Vision Image Signal Process. 146, 345-352 (1999).
22. G. McGunnigle and M. J. Chantler, "Rough surface classification using point statistics from photometric stereo," Protein Eng. 21, 593-604 (2000).
23. G. McGunnigle and M. J. Chantler, "Modelling deposition of surface texture," Electron. Lett. 37, 749-750 (2001).
24. M. L. Smith, T. Hill, and G. Smith, "Gradient space analysis of surface defects using a photometric stereo derived bump map," Image Vis. Comput. 17, 321-332 (1999).
25. P. Hansson and P. Johansson, "Topography and reflectance analysis of paper surfaces using photometric stereo method," Opt. Eng. (Bellingham) 39, 2555-2561 (2000).
26. G. McGunnigle and M. J. Chantler, "Segmentation of machined surfaces," presented at the Irish Machine Vision and Image Processing Conference, Maynooth, Ireland, September, 2001.
27. M. R. Banham and A. K. Katsaggelos, "Digital image restoration," IEEE Signal Process. Mag. Vol. 14 (2) 1997, pp. 24-41.
28. D. Rajan and S. Chaudhuri, "Simultaneous estimation of super-resolved scene and depth map from low resolution defocused observations," IEEE Trans. Pattern Anal. Mach. Intell. 25, 1102-1117 (2003).
29. A. N. Rajagopalan and S. Chaudhuri, "An MRF model based approach to simultaneous recovery of depth and restoration from defocused images," IEEE Trans. Pattern Anal. Mach. Intell. 21, 577-589 (1999).
30. D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Signal Process. Mag. March 1996, pp. 43-64.
31. Y. You and M. Kaveh, "A regularization approach to joint blind identification and image restoration," IEEE Trans. Image Process. 5, 416-428 (1996).
32. R. L. Lagendijk and J. Biemond, Iterative Identification and Restoration of Images, (Kluwer Academic, Boston, Mass., 2001).
33. R. L. Lagendijk, J. Biemond, and D. E. Boekee, "Identification and restoration of noisy blurred images using the expectation maximization algorithm," IEEE Trans. Acoust., Speech, Signal Process. 38, 1180-1191 (1990).
34. K. T. Lay and A. K. Katsaggelos, "Image identification and restoration based on the expectation maximization algorithm," Opt. Eng. (Bellingham) 29, 436-445 (1990).
35. M. K. Ozkan, A. M. Tekalp, and M. I. Sezan, "POCS based restoration of space varying blurred images," IEEE Trans. Image Process. 3, 450-454 (1995).
36. M. I. Sezan and A. M. Tekalp, "Iterative image restoration with ringing suppression using POCS," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE Press, Piscataway, N.J., 1988), pp. 1300-1303.
37. M. I. Sezan and H. J. Trussell, "Prototype image constraints for set theoretic image restoration," IEEE Trans. Signal Process. 39, 2275-2285 (1991).
38. H. J. Trussell and M. R. Civanlar, "The feasible solution in signal restoration," IEEE Trans. Acoust., Speech, Signal Process. 32, 201-212 (1984).
39. Y. Yang, N. P. Galatsanos, and A. K. Katsaggelos, "Projection-based spatially adaptive reconstruction of block-transform compressed images," IEEE Trans. Image Process. 4, 896-908 (1995).
40. V. F. Candela, A. Marquina, and S. Serna, "A local spectral inversion of a linearized TV model for denoising and deblurring," IEEE Trans. Image Process. 12, 808-816 (2003).
41. B. Besserer, L. Joyeux, S. Boukir, and O. Buisson, "Reconstruction of degraded image sequences. Application to film restoration," Image Vis. Comput. 19, 503-516 (2001).
42. L. Bedini, A. Tonazzini, and S. Minutoli, "Unsupervised edge-preserving image restoration via a saddle point approximation," Image Vis. Comput. 17, 779-793 (1999).
43. B. K. P. Horn, Robot Vision (MIT Press, Cambridge, Mass., 1986).
44. S. Chaudhuri and A. N. Rajagopalan, Depth From Defocus: A Real Aperture Imaging Approach (Springer-Verlag, New York, 1999).
45. R. C. Dubes and A. K. Jain, "Random field models in image analysis," J. Appl. Statistics 16, 131-164 (1989).
46. J. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. R. Stat. Soc. Ser. B. Methodol.36, 192-236 (1974).
47. M. Subbarao, "Parallel depth recovery by changing camera parameters," in Proceedings of the International Conference on Computer Vision (IEEE Computer Society Press, Los Alamitos, Calif., 1998), pp. 149-155.
48. T. F. Chan and C. K. Wong, "Convergence of the alternating minimization algorithm for blind deconvolution," Tech. Rep. 19, UCLA Computational and Applied Mathematics Series (University of California, Los Angeles, Calif., 1999).