[1]
J.S. Lee, Refined Filtering of Image Noise Using Local Statistics Computer Vision, Graphics and Image Processing, vol. 15, 1981 pp, 380-389.
DOI: 10.1016/s0146-664x(81)80018-4
Google Scholar
[2]
G.A. Mastin, Adaptive Filters for Digital Noise Smoothing, An Evaluation Computer Vision, Graphics and Image Processing, vol. 31, 1985 pp, 103-121.
DOI: 10.1016/s0734-189x(85)80078-5
Google Scholar
[3]
P. Meer, J. Jolion, A. Rosenfeld, A Fast Parallel Algorithm for Blind Estimation of Noise Variance IEEE tr. on PAMI vol. 12, nr 2, 1990, pp.216-223.
DOI: 10.1109/34.44408
Google Scholar
[4]
R. Bracho, A.C. Sanderson, Segmentation of Images Based on Intensity Gradient Information Proceedings of CVPR-85 Conf. On Computer Vision and Pattern Recognition, San Francisco, 1985, pp.341-347.
Google Scholar
[5]
H. Vorhees, T. Poggio, Textons and Texture Boundaries in Natural Images Proceedings of 1 International Conf. On Computer Vision 1987, London, 1987, pp.250-258.
Google Scholar
[6]
S.I. Olsen, Estimation of Noise in Images: An Evaluation Graph. Models Image Process. vol. 55, 1993, pp.319-323.
Google Scholar
[7]
J. Purczyński, J. Ayman Comparison of Properties of Median Filter and Moving Average Filter Conf. Mat. - ZKwE'2000, pp.353-356, Poznan (2000).
Google Scholar
[8]
F. Murtagh, J.L. Starc, Image Processing Through Multiscale Analysis and Measurement Noise Modelling Statistics and Computing Journal, vol. 10 pp.95-103, (2000).
Google Scholar
[9]
M.R. Banham, A.K. Katsaggelos, Digital Image Restoration IEEE Signal Processing Magazine, vol. 3, pp.24-41, (1997).
DOI: 10.1109/79.581363
Google Scholar
[10]
J. Canny, A Computational Approach to Edge Detection IEEE trans. on PAMI, vol. 9, pp.679-698, November (1986).
Google Scholar
[11]
A. Amer, A. Mitiche, Reliable and Fast Structure-Oriented Video Noise Estimation Proceedings IEEE International Conference, ICIP 2002, vol. 1, pp.840-843, Rochester, USA, September (2002).
DOI: 10.1109/icip.2002.1038156
Google Scholar
[12]
R.M. Henkelman, Measurement of Signal Intensities in the Presence of Noise in MR Images Medical Physics, vol. 2, no. 2, pp.232-233, 1085.
DOI: 10.1118/1.595711
Google Scholar