References
[1]. L. Yaroslavsky, K. Egiazarian, and J. Astola, (2001).
"Transform domain image restoration methods: review,
com-parison and interpretation”, Nonlinear Image
Processing and Pattern Analysis XII, Proc. SPIE 4304, pp.
155—169.
[2]. R. Öktem, L. Yaroslavsky, and K. Egiazarian, (1998).
"Signal and image denoising in transform domain and
wavelet shrinkage: a comparative study", in Proc. of
EUSIPCO'98, Rhodes, Greece.
[3]. C. Kervrann and J. Boulanger, (2005). "Local
adaptivity to variable smoothness for exemplar-based
image denoising and representation", Research Report
INRIA, RR-5624.
[4]. A. Buades, B. Coll, and J. M. Morel, (2005). "A review of
image denoising algorithms, with a new one", Multiscale
Model. Simul, Vol.4, pp. 490-530.
[5]. L. Sendur and I. W. Selesnick, (2002). “Bivariate
shrinkage functions for wavelet-based denoising
exploiting interscale dependency”, IEEE Trans. on Sign.
Proc, Vol. 50 No. 11, pp. 2744-2756.
[6]. I. Firoiu, A. Isar, and D. Isar, (2009). A maximum A
Posteriori Approach of Hyperanalytic Wavelet Based
Image Denoising in a Multi-Wavelet Context”, Proc of the
9th WSEAS International Conference on Signal Processing,
pp. 113-119.
[7]. N. Kingsbury, (2001). Complex Wavelets for Shift
Invariant Analysis and Filtering of Signals, Applied and
Comp. Harm. Anal.10, pp. 234-253.
[8]. N G Kingsbury, (2000). “A Dual-Tree Complex Wavelet
Transform with improved orthogonality and symmetry
properties”, Proc. IEEE Conf. on Image Processing,
Vancouver, Vol. 2, pp. 375-378.
[9]. Ivan W. Selesnick (2001). “The Characterization and
Design of Hilbert Transform Pairs of Wavelet Bases”.
Conference on Information Science and Systems, The
Johns Hopkins University.
[10]. N. Kingsbury, (1999). “Image processing with
complex wavelets”, Philosophical Transactions of the
Royal Society London, A 357 No.1760, pp. 2543-2560.
[11]. Ivan W. Selesnick, Richard G. Baraniuk and Nick G.
Kingsbury (2005). “The Dual-Tree Complex Wavelet
Transform”, IEEE Signal Processing Magazine, Vol. 22, No.
6, pp. 123-151.
[12]. C. Nafornita, I. Firoiu, J. Boucher, A. Isar, (2008). “A
New Watermarking Method Based on the use of the
Hyperanalytic Wavelet Transform”, Proc. SPIE 7000,
Optical and Digital Image Processing.
[13]. J. B. MacQueen, (1967). “Some methods for
classification and analysis of multivariate observations”,
Proc. Berkeley Symp. Math. Stat. Probab., Berkeley, pp. 281-297.
[14]. S. Swarnalatha, P. Satyanarayana, B. Shoban Babu,
(2015). “Image Denoising Techniques Using Dual Tree
Complex and Hyperanalytic Wavelet Transform With Bi-
Shrink Filter”, IJAREEIE, Vol. 4, No. 4, pp. 2572-2580.
[15]. S. Swarnalatha, P. Satyanarayana, B. Shoban Babu,
(2015). “Hyperanalytic Dual Tree Complex Wavelet
Transform Based Image Denoising Using Bi-Variate
Shrinkage Filter”, IJMRA, Vol. 3, No. 8, pp. 102-121.
[16]. T. Kohonen, (1997). “Self-Organizing Maps”, 2nd ed.,
ser, Information Sciences, Springer, Heidelberg, Vol. 30.
[17]. F. Hppner, F. Klawonn, R. Kruse, and T. Runkler, (1999).
Fuzzy Cluster Analysis. Wiley, Chichester.
[18]. A. Gersho, (1982). “On the structure of vector
quantizers”, IEEE Trans. Inf. Theory, Vol. 28, No. 2, pp.
157166.
