[1]
|
A. Bruckstein M. Lindenbaum and M. Fischer, “On Gabor Contribution to Image Enhancement. Pattern recognition,” Computer Methods and Programs in Biomedicine, Vol. 27, No. 1, 1994, pp. 1-8.
|
[2]
|
J. Malik and P. Perona, “Scale Space and Edge Detection Using Anisotropic Diffusion,” IEEE Transactions on Pattern Analysis, Vol. 12, No. 7, March 1990, pp. 629-639.
|
[3]
|
J. M. Morel L. Alvarez and P. L. Lions, “Image Selective Smoothing and Edge Detection by Nonlinear Diffusion,” Journal of Numerical Analysis, Vol. 29, No. 1, 1992, pp. 182-193.
|
[4]
|
L. Yaroslavsky, “Digital Picture Processing—An Introduction,” Springer-Verlag, Berlin, 1985.
|
[5]
|
R. Manduchi and C. Tomasi, “Bilateral Filtering for Gray and Color Images,” Proceedings of the Sixth International Conference on Computer Vision, Bombay, 4-7 January 1998, pp. 839-846.
|
[6]
|
D. Donoho and R. Coifman, “Wavelets and Statistics, Chapter Translation Invariant Denoising,” Springer-Verlag, Berlin, 1995, pp. 125-150.
|
[7]
|
D. Donoho, “Denoising by Soft-Thresholding,” IEEE Transactions on Information Theory, Vol. 41, 1995, pp. 613-627.
|
[8]
|
A. Alecu, A. Munteanu, L. Tessens and A. Pizurica, “Context Adaptive Image Denoising through Modeling of Curvelet Domain Statistics,” Journal of Electronic Imaging, Vol. 17, No. 3, 2008, p. 033021.
doi:10.1117/1.2987723
|
[9]
|
J. Morel, A. Buades and B. Coll, “On Image Denoising Methods,” Technical Report CMLA, 2004.
|
[10]
|
J. M. Morel, A. Buades and B. Coll, “A Non-Local Algorithm for Image Denoising,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, 20-26 June 2005, pp. 60-65.
|
[11]
|
A. Reza and Y. Hawwar, “Spatially Adaptive Multiplicative Noise Image Denoising Technique,” IEEE Transactions on Image Processing, Vol. 11, No. 12, 2002, pp. 1397-1404. doi:10.1109/TIP.2002.804526
|