A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution)

K. Aizawa, T. Komatsu, and T. Saito, Acquisition of very high resolution images using stereo cameras, inProceedings SPIE Visual Communications and Image Processing ?91, Boston, MA, pp. 318?328, November 1991.

O. Axelsson,Iterative Solution Methods, Cambridge University Press, New York, 1994.

M. Crouse, R. Nowak, and R. Baraniuk, Wavelet-based statiscal signal processing using hidden Markov models,IEEE Trans. Signal Process, 46(4), 886?902, April 1998.

I. Daubechies,Ten Lectures on Waveles, SIMA, New York, 1992.

M. Elad, Super-resolution reconstruction of images. Ph.D. thesis, The Technion-Israel Institute of Technology, December 1996.

C. Ford and D. Etter, Wavelet basis reconstruction of nonuniformly sampled data,IEEE Trans. Circuits and Systems II, 45(8), 1165?1168, August 1998.

R. Hardie, K. Barnard, and E. Amstrong, Joint MAP registration and high-resolution image estimation using a sequence of undersampled images,IEEE Trans. Image Process., 6(12), December 1997.

W. Lukosz, Optical systems with resolving power exceeding the classical limit,J. Opt. Soc. Am., 56(11), 1463?1472, 1966.

W. Lukosz, Optical systems with resolving power exceeding the classical limits II,J. Opt. Soc. Am. 57(7), 932?941, 1967.

S. Mallat, A theory for multiresolution in signal decomposition: The wavelet representation,IEEE Trans. Pattern Anal. Mach. Intellig., 11(7), 674?683, July 1989.

Y. Meyer, Principe d'incertitude, bases Hilbertiennes et algebres d'operateurs, inBourbaki Siminar, vol. 662, Paris, pp. 1985?1986.

N. Nguyen, Numerical techniques for image superresolution, Ph. D. thesis, Stanford University, May 2000.

N. Nguyen, P. Milanfar, and G. Golub, Blind superresolution with generalized cross-validation using Gauss-type quadrature rules, inProceedings of the 33rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 1999.

K. Sauer and J. Allebach, Iterative reconstruction of band-limited images from non-uniformly spaced samples,IEEE Trans. Circuits and systems, CAS-34, 1497?1505, 1987.

H. Shekarforoush and R. Chellappa, Data-driven multi-channel super-resolution with application to video sequences,J. Opt. Soc. Am. A, 16(30), 481?492, March 1999.

E. Simoncelli, Statistical models for images: Compression, restoration and synthesis, inProceedings of the 31st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 1997.

G. Strang and T. Nguyen,Wavelet and Filter Banks, Wellesley-Cambridge Press, Wellesley, MA, 1997.

A. Tekalp, M. Ozkan, and M. Sezan, High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration, inProceedings ICASSP ?92, vol. 3, San Francisco, CA, pp. 169?172, March 1992.

H. Ur and D. Gross, Improved resolution from subpixel shifted pictures,CVGIP: Graphical Models and Image Processing, 54(2), 181?186, March 1992.