[1] [1] A. N. Pavlov, A. S. Abdurashitov, O. N. Pavlova, V. V. Tuchin, "Hidden stage of intracranial hemorrhage in newborn rats studied with laser speckle contrast imaging and wavelets," J. Innov. Opt. Health Sci. 8, 1550041 (2015).

[2] [2] W. Gao, V. P. Zakharov, O. O. Myakinin, I. A. Bratchenko, D. N. Artemyev, D. V. Kornilin, "Medical images classification for skin cancer using quantitative image features with optical coherence tomography," J. Innov. Opt. Health Sci. 9, 1650003 (2016).

[3] [3] A. S. Saad, G. A. El-Hiti, A. M. Masmali, "A computer- based image analysis for tear ferning featuring," J. Innov. Opt. Health Sci. 8, 1550015 (2015).

[4] [4] H. C. Li, W. Hong., Y. R. Wu, P. Z. Fan, "Bayesian wavelet shrinkage with heterogeneity-adaptive threshold for SAR image despeckling based on generalized gamma distribution," IEEE Trans. Geosci. Remote Sens. 51, 2388–2402 (2013).

[5] [5] S. M. M. Rahman, M. O. Ahmad, M. N. S. Swamy, "Bayesian wavelet-based image denoising using the Gauss-Hermite expansion," IEEE Trans. Image Process. 17, 1755–1771 (2008).

[6] [6] F. Shi, I. W. Selesnick, "An elliptically contoured exponential mixture model for wavelet based image denoising," Appl. Comput. Harmonic Anal. 23, 987– 1017 (2007).

[7] [7] M. I. H. Bhuiyan, M. O. Ahmad, M. N. S. Swamy, "Wavelet-based image denoising with the normal inverse Gaussian prior and linear MMSE estimator," IET Image Process. 2, 203–217 (2008).

[8] [8] H. Rabbani, M. Vafadust, P. Abolmaesumi, S. Gazor, "Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors," IEEE Trans. Biomed. Eng. 55, 2152–2160 (2008).

[9] [9] A. Achim, P. Tsakalides, A. Bezerianos, "SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling," IEEE Trans. Geosci. Remote Sens. 41, 1773–1783 (2003).

[10] [10] J. Portilla, V. Strela, M. J.Wainwright, E. Simoncelli, "Image denoising using scale mixture of Gaussians in the wavelet domain," IEEE Trans. Image Process. 12, 1338–1351 (2003).

[11] [11] P. A. Khazron, I. W. Selesnick, "Bayesian estimation of Bessel K form random vectors in AWGN," IEEE Signal Process. Lett. 15, 261–264 (2008).

[12] [12] J. A. Guerrero, L. Mancera, J. Portilla, "Image restoration sparse-variant Gaussian scale mixtures in overcomplete pyramids," IEEE Trans. Image Process. 17, 27–41 (2008).

[13] [13] I. W. Selesnick, "Laplace random vectors, Gaussian noise, and the generalized incomplete gamma function," IEEE Int. Conf. Image Processing (ICIP), pp. 2097–2100, Atlanta, USA (2006).

[14] [14] F. Shi, I. W. Selesnick, "Multivariate quasi- Laplacian mixtures models for wavelet-based image denoising," IEEE Int. Conf. Image Processing (ICIP), pp. 2625–2628, Atlanta, USA (2006).

[15] [15] S. G. Kim, Y. S. Kim, I. K. Eom, "Locally adaptive speckle noise reduction using maximum a posteriori estimation based on Maxwell distribution," IEEE Int. Conf. Signal Processing Systems (SiPS), pp. 2625–2628, Tampere, France (2006).

[16] [16] H. M. Musal, "Logarithmic compression of Rayleigh and Maxwell distributions," Proc. IEEE 57, 1311– 1313 (1969).

[17] [17] D. L. Donoho, I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika 81, 425–455 (1994).

[18] [18] P. Kittisuwan, "MAP of Pearson type IV random vectors in AWGN," IEEE Int. Conf. Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 1–4, Phetchaburi, Thailand (2012).

[19] [19] M. Abramowitz, I. A. Stegun, Handbook of Mathematical Functions, Dover Publications, New York (1964).

[20] [20] S. G. Chang, B. Yu, M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression," IEEE Trans. Image Process. 9, 1522–1531 (2000).

[21] [21] M. A. Chaudhry, S. M. Zubair, "Generalized incomplete gamma functions with applications," J. Comput. Appl. Math 55, 99–124 (1994).

[22] [22] M. A. Chaudhry, S. M. Zubair, On a Class of Incomplete Gamma Functions with Applications, Chapman and Hall, New York (2001).