References
[1]. Gyaourova, A., Kamath, C., and Fodor, I.K. (2002).
“Undecimated wavelet transforms for image de-noising”.
Report, Lawrence Livermore National Lab., CA, pp. 18.
[2]. McGaffin, M.G., and Fessler, J.A. (2015). “Edge-
Preserving Image De-noising via Group Coordinate
Descent on the GPU”. IEEE Transactions on Image
Processing, Vol. 24, No. 4, pp. 1273-1281.
[3]. Tian, D., Xue, D., and Wang, D. (2015). “A fractionalorder
adaptive regularization primal–dual algorithm for
image de-noising”. Information Science, Vol. 296, pp.
147–159.
[4]. Chen, D., Chen, Y., and Xue, D. (2015). “Fractionalorder
total variation image de-noising based on proximity
algorithm”. Applied Mathematics and Computation, Vol.
257, pp. 537-545.
[5]. Wei, Z., Wang, J., Nichol, H., Wiebe, S., and
Chapman, D. (2012). “A median-Gaussian filtering
framework for Moiré pattern noise removal from X-ray
microscopy image”. Micron, Vol. 43, No. 2–3, pp. 170-
176.
[6]. Nordström, K.N. (1990). “Biased anisotropic diffusion:
A unified regularization and diffusion approach to edge detection”. Image and Vision Computing, Vol. 8, No. 4,
pp. 318-327.
[7]. Rudin, L.I., Osher, S., and Fatemi, E. (1992). “Nonlinear
total variation based noise removal algorithms”. Physica
D, Vol. 60, No. 1-4, pp. 259–268.
[8]. Pasti, L., Walczak, B., Massart, D.L., and Reschiglian, P.
(1999). “Optimization of signal de-noising in discrete
wavelet transform”. Chemometrics and Intelligent
Laboratory Systems, Vol. 48, No. 1, pp. 21-34.
[9]. Donoho, D.L. (1995). “De-noising by softthresholding”.
IEEE Transactions on Information Theory,
Vol. 41, No. 3, pp. 613 – 627.
[10]. Chang, S.G., Yu, Bin, and Vattereli, M. (2000).
“Adaptive Wavelet Thresholding for Image De-noising and
Compression”. IEEE Trans. Image Processing, Vol. 9, No. 9,
pp. 1532-1546.
[11]. El-Shehaby, I.A., and Tran, T.D. (2006). “On Local
Computation of Wavelet Coefficients in the Dual-tree
CWT”. IEEE Signals, Systems and Computers, pp. 411-415,
Pacific Grove, CA.
[12]. Kingsbury, N.G. (2001). “Complex wavelets for shift
invariant analysis and filtering of signals”. Applied and
Computational Harmonic Analysis, Vol. 10, No. 3, pp.
234-253.
[13]. Karaboga, D. and Basturk, B. (2008). “On the
performance of Artificial Bee Colony (ABC) algorithm”.
Applied Soft Computing, Vol. 8, pp. 687–697.
[14]. Karaboga, D. and Akay, B. (2009). “A Comparative
study of Artificial Bee Colony algorithm”. Applied
Mathematics and Computation, Vol. 214, pp. 108-132.
[15]. Hwang, H. and Hadded, R. (1995). “Adaptive
median filter: New algorithms and results”. IEEE Trans.
Image Process., Vol. 4, No. 4, pp. 499–502.
[16]. Panetta, K., Zhou, Y., Agaian, S. and Jia, H. (2011).
“ Nonlinear Unsharp Masking for Mammogram
Enhancement ”. IEEE Transactions on Information
Technology in Biomedicine, Vol. 15, No. 6, pp. 918-928.
[17]. Kingsbury, N.G. (1999). “Image processing with
complex wavelets”. Philos. Trans. R. Soc. London A, Math.
Phys. Sci., Vol. 357, No. 1760, pp. 2543–2560.
