References
[1]. Aelterman, J., Goossens, B., Pižurica, A., & Philips, W.
(2008, August). Removal of correlated rician noise in
magnetic resonance imaging. In Signal Processing
th Conference, 2008 16 European (pp. 1-5). IEEE.
[2]. Celebi, M., Kingravi, H., Uddin, B., & Aslandogan, Y.
(2007). Fast switching filter for impulsive noise removal
from color images. Journal of Imaging Science and
Technology, 51(2), 155-165.
[3]. Chan, R. H., Ho, C. W., & Nikolova, M. (2005). Salt-andpepper
noise removal by median-type noise detectors
and detail-preserving regularization. IEEE Transactions on
Image Processing, 14(10), 1479-1485.
[4]. Cree, M. J. (2004). Observations on adaptive vector
filters for noise reduction in color images. IEEE Signal
Processing Letters, 11(2), 140-143.
[5]. Hodgson, R. M., Bailey, D. G., Naylor, M. J., Ng, A. L.
M., & McNeill, S. J. (1985). Properties, implementations
and applications of rank filters. Image and Vision
Computing, 3(1), 3-14.
[6]. Kashyap, R. L., & Eom, K. B. (1988). Robust image
modeling techniques with an image restoration
application. IEEE Transactions on Acoustics, Speech, and Signal Processing, 36(8), 1313-1325.
[7]. Koschan, A., & Abidi, M. (2001, October). A
comparison of median filter techniques for noise removal
th in color images. In Proc. 7 German Workshop on Color
Image Processing (Vol. 34, No. 15, pp. 69-79).
[8]. Lin, T. C., & Yu, P. T. (2006). Salt-pepper impulse noise
detection and removal using multiple thresholds for
image restoration. Journal of Information science and
Engineering, 22(1), 189-198.
[9]. Lukac, R., Smolka, B., Plataniotis, K. N., &
Venetsanopoulos, A. N. (2004). Selection weighted
vector directional filters. Computer Vision and Image
Understanding, 94(1), 140-167.
[10]. Nowak, R. D. (1999). Wavelet-based Rician noise
removal for magnetic resonance imaging. IEEE
Transactions on Image Processing, 8(10), 1408-1419.
[11]. Srinivasan, K. S., & Ebenezer, D. (2007). A new fast
and efficient decision-based algorithm for removal of
high-density impulse noises. IEEE Signal Processing
Letters, 14(3), 189-192.
[12]. The Open Access Series of Imaging Studies (OASIS).
What is OASIS? Retrieved from www.oasis-brains.org
[13]. Wang, Y., Che, X., & Ma, S. (2012). Nonlinear filtering
based on 3D wavelet transform for MRI denoising. EURASIP
Journal on Advances in Signal Processing, 2012(1), 40.