Fast color image restoration with multisensors

International Journal of Imaging Systems and Technology

Volumn 12, Issue 5, 2002, Pages 189-197

  Ng, Michael K ^a   Bose, N K ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOUNDARY CONDITIONS; FOURIER TRANSFORMS; IMAGE RECONSTRUCTION; KALMAN FILTERING; LUMINESCENCE; SENSOR DATA FUSION;

COLOR IMAGE RESTORATION;

COLOR IMAGE PROCESSING;

EID: 0036958012     PISSN: 08999457     EISSN: None     Source Type: Journal    
DOI: 10.1002/ima.10028     Document Type: Article

References (15)

1. H. Andrew and B. Hunt, Digital image restoration, Prentice-Hall, Englewood Cliffs, NJ, 1997.
2. M. Banham and A. Katsaggelos, Digital image restoration, IEEE Signal Processing Magazine 14 (1997), 24-41.
3. C. Berenstein and E. Patrick, Exact deconvolution for multiple convolution operators - an overview, plus performance characterization for imaging sensors, Proc IEEE 78 (1990), 723-734.
4. K. Boo and N. Bose, Multispectral image restoration with multisensors, IEEE Trans Geoscience Remote Sensing 35 (1997), 1160-1170.
5. H. Buckley, Fast computation of a discretized thin plate smoothing spline for image data, Biometrika 81 (1994), 247-258.
6. H. Engl, M. Hanke, and A. Neubauer, Regularization of inverse problems, Kluwer Academic Publishers, Dordecht, The Netherlands, 1996.
7. N. Galatsanos and R. Chin, Digital restoration of multichannel images, IEEE Trans Acoust Speech Signal Processing 37 (1989), 415-421.
8. N. Galatsanos, A. Katsaggelos, R. Chin, and A. Hillery, Least squares restoration of multichannel images, IEEE Trans Signal Processing 39 (1991), 2222-2236.
9. G. Golub, M. Heath, and G. Wahba, Generalized cross-validation as a method for choosing a good ridge parameter, Technometrics 21 (1979), 215-223.
10. G. Golub and C. Van Loan, Matrix computations, 2nd ed., The Johns Hopkins University Press, Baltimore, MD, 1989.
11. R. Gonzalez and R. Woods, Digital image processing, Addison-Wesley, Reading, MA, 1992.
12. B. Hunt and O. Kubler, Karhunen-Loeve multispectral image restoration, part I: theory, IEEE Trans Acoust Speech Signal Processing 32 (1984), 592-600.
13. M. Ng, R. Chan, and W. Tang, A fast algorithm for deblurring models with Neumann boundary conditions, SIAM J Sci Comput 21 (2000), 851-866.
14. M. Ng and W. Kwan, Comments on least squares restoration of multichannel images, IEEE Trans Signal Processing 49 (2001), 2885.
15. A. Tekalp and G. Pavlovic, Multichannel image modeling and Kalman filtering for multispectral image restoration, Signal Process 19 (1990), 221-232.