1 |
M. Banhamand A. Katsaggelos, "Digital image restoration,"IEEE Signal Processing Magazine, vol. 14, no. 2, pp. 24-41, Mar. 1997.
|
2 |
S. Chang, Y. Bin, and M. Vetterli,"Adaptive wavelet thresholding for image denoising and compression," IEEE Trans. Image Processing, vol. 9, no. 9, pp.1532-1546, Sep. 2000.
DOI
ScienceOn
|
3 |
L.Ce, R. Szeliski, K. Sing, C. Zitnick, and W. Freeman, "Automatic estimation and removal of noise from a single image," IEEE Trans. Pattern Analysis, Machine Intelligence, vol. 30, no. 2, pp. 299-314, Feb. 2008.
DOI
|
4 |
A. Tekalp, H. Kaufman, and J. Woods, "Identification of image and blur parameters for the restoration of noncausal blurs,"IEEE Trans. Acoustics, Speech, Signal Processing, vol. 34, no. 4, pp. 963-972, Aug. 1986.
DOI
|
5 |
N. Wayrich, and G. Warhola, "Wavelet shrinkage and generalized cross validation for image denoising," IEEE Trans. Image Processing, vol. 7, no.1, pp. 82-90, Jan. 1998.
DOI
ScienceOn
|
6 |
R. Legendijk, A.Tekalp, and J. Biemond, "Maximum likelihood image and blur identification: a unifying approach,"Optical Engineering, vol. 29, no. 5, pp 422-435, May 1990.
DOI
|
7 |
A. Tekalp and H. Kaufman, "On statistical identification of a class of linear space-invariant blurs using nonminimum-phase arma models," IEEE Trans. Acoustics, Speech, Signal Processing,vol. 38, no. 8, pp. 1360-1363, Aug. 1988.
|
8 |
H. Engl, "Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates," Journal of Optimization Theory and Applications, vol. 52, no. 2, pp. 209-215, 1987.
DOI
|
9 |
P. Hansen, "Analysis of discrete ill-posed problems by means of the L-curve,"SIAM Review, vol. 34, no. 4, pp. 561-580, 1992.
DOI
ScienceOn
|
10 |
D. Krawczyk-Stando, and M. Rudnicki, "Regularization parameter selection in discrete illposed problems: the use of the U-curve," International Journal of Applied Mathematic Computer Science, vol. 17, no. 2, pp. 157-164,2007.
|
11 |
S. Kayand S. Marple, "Spectrum analysis-A modern perspective,"IEEE Proceeding, vol. 69, no. 11, pp. 1380-1419,Nov. 1981.
DOI
ScienceOn
|
12 |
R.Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Speech and Audio Processing, vol. 9, no. 5, pp. 504-512,July 2001.
DOI
ScienceOn
|
13 |
R.Neelamani,H. Choi, and R.Baraniuk,"ForWaRD: Fourier-wavelet regularized deconvolution for illconditioned systems,"IEEE Trans. Signal Processing, vol. 52, no. 2, pp. 418-433, Feb. 2004.
DOI
ScienceOn
|