Specification of the observation model for regularized image up-sampling

IEEE Transactions on Image Processing

Volumn 14, Issue 5, 2005, Pages 567-576

  Aly, Hussein A ^a   Dubois, Eric ^b  

^a Ministry of Defence   (Egypt)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Camera aperture; Data fidelity; Image up sampling; Interpolation; Multidimensional signal processing; Observation model; Power spectral density (PSD); Super resolution

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTER SIMULATION; FOURIER TRANSFORMS; IMAGE QUALITY; INTERPOLATION; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTIMIZATION; VECTORS;

CAMERA APERTURE; DATA FIDELITY; IMAGE UP-SAMPLING; MULTIDIMENSIONAL SIGNAL PROCESSING; OBSERVATION MODEL; POWER SPECTRAL DENSITY (PSD); SUPER RESOLUTION;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 18844453153     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.846019     Document Type: Article

References (22)

1. H. A. Aly and E. Dubois, "Design of optimal camera apertures adapted to display devices over arbitrary sampling lattices," Signal Process. Lett., vol. 11, pp. 443-445, Apr. 2004.
2. M. Unser, "Splines: A perfect fit for signal and image processing," IEEE Signal Process. Mag., vol. 16, no. 6, pp. 22-38, Nov. 1999.
3. J. P. Allebach, "Image scanning, sampling, and interpolation," in Handbook of Image and Video Processing, A. Bovik, Ed. San Diego, CA: Academic, 2000, ch. 7.1, pp. 629-643.
4. A. Biancardi, L. Cinque, and L. Lombardi, "Improvements to image magnification," Pattern Recognit., vol. 35, pp. 677-687, Mar. 2002.
5. S. Carrato, G. Ramponi, and S. Marsi, "A simple edge-sensitive image interpolation filter," in Proc. IEEE Int. Conf. Image Processing, vol. 3, Oct. 1996, pp. 711-714.
6. Q. Wang and R. Ward, "A new edge-directed image expansion scheme," in Proc. IEEE Int. Conf. Image Processing, vol. 3, Oct. 2001, pp. 899-902.
7. H. Aly and E. Dubois, "Regularized image up-sampling using a new observation model and the level set method," in Proc. IEEE Int. Conf. Image Processing, vol. 3, Sep. 2003, pp. 665-668. observation model and the level set method," in Proc. IEEE Int. Conf. Image Processing, vol. 3, Sep. 2003, pp. 665-668.
8. S. Baker and T. Kanade, "Limits on super-resolution and how to break them," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 9, pp. 1167-1183, Sep. 2002.
9. H. Aly and E. Dubois, "Crafting the observation model for regularized image up-sampling," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. 3, Apr. 2003, pp. 101-104.
10. B. Tom and A. Katsaggelos, "Resolution enhancement of monochrome and color video using motion compensation," IEEE Trans. Image Process. , vol. 10, no. 2, pp. 278-287, Feb. 2001.
11. D. Rajan and S. Chaudhuri, "Generation of super-resolution images from blurred observations using Markov random fields," in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing, vol. 3, Jun. 2001, pp. 1837-1840.
12. M. Elad and A. Feuer, "Restoration of single superresolution image from several blurred, noisy, and undersampled measured images," IEEE Trans. Image Process., vol. 6, no. 6, pp. 1646-1658, Dec. 1997.
13. R. R. Schulz and R. L. Stevenson, "A Bayesian approach to image expansion for improved definition," IEEE Trans. Image Process., vol. 3, no. 5, pp. 233-242, May 1994.
14. S. Borman and R. L. Stevenson, "Super-resolution for image sequences - a review," in Proc. IEEE Int. Symp. Circuits and Systems, Jun. 1998, pp. 374-378.
15. E. Dubois, "The sampling and reconstruction of time-varying imagery with application in video systems," Proc. IEEE, vol. 73, no. 4, pp. 502-522, Apr. 1985.
16. E. Dubois, "Video sampling and interpolation," in Handbook of Image and Video Processing, A. Bovik, Ed. San Diego, CA: Academic, 2000, ch. 7.2, pp. 645-654.
17. S. Coulombe and E. Dubois, "Linear phase and symmetries for multidimensional FIR filters over lattices," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 45, no. 4, pp. 473-481, Apr. 1998.
18. A. K. Jain, Fundamentals of Digital Image Processing. Upper Saddle River, NJ: Prentice-Hall, 1989.
19. R. N. Bracewell, The Fourier Transform and Its Applications, 3rd ed. New York: McGraw-Hill, 2000.
20. P. D. Welch, "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., vol. AU-15, no. 6, pp. 70-73, Jun. 1967.
21. O. Schade Sr., "Image reproduction by a linear raster process," in Perception of Displayed Information, L. M. Biberman, Ed. New York: Plenum, 1973, pp. 233-278.
22. C. Covault, "IMAX 3D launches you to the space station," Aviation Week Space Technol., vol. 155, no. 26, pp. 54-71, Dec. 2001.