Shearlet-based image denoising using adaptive thresholding and non-local means filter

被引：0

作者：

Deng, Chengzhi ^{[1
]}

Tian, Wei ^{[1
]}

Hu, Saifeng ^{[1
]}

Li, Yan ^{[1
]}

Hu, Min ^{[1
]}

Wang, Shengqian ^{[1
]}

机构：

[1] School of Information Engineering, Nanchang Institute of Technology

来源：

International Journal of Digital Content Technology and its Applications | 2012年 / 6卷 / 20期

关键词：

Image denoising; Non-local means; Normal inverse gaussian; Shearlet;

D O I：

10.4156/jdcta.vol6.issue20.36

中图分类号：

学科分类号：

摘要：

This paper presents an efficient image denoising algorithm by incorporating shearlet-based adaptive thresholding with non-local means filter. Firstly, an adaptive Bayesian maximum a posteriori estimator, where the normal inverse Gaussian distribution is used as the prior model of shearlet coefficients, is introduced for removing the Gaussian noise from corrupted image. Secondly, the nonlocal means filter is used to suppress unwanted nonsmooth artifacts caused by the shearlet transform and shrinkage. Numerical experiments demonstrate that the proposed method achieves state-of-art performance than several published methods in terms of subjective and objective evaluations.

引用

页码：333 / 342

页数：9

共 24 条

[1]

Donoho D.L., Johnstone I.M., Ideal spatial adaptation via wavelet shrinkage, Biometrika, 18, 3, (1994)

[2]

Crouse M.S., Nowak R.D., Baraniuk R.G., Wavelet-based statistical signal processing using hidden Markov models, IEEE Transactions On Signal Processing, 46, 4, pp. 886-902, (1998)

[3]

Clyde M., Parmigiani G., Vidakovic B., Multiple shrinkage and subset selection in wavelets, Biometrika, 85, 2, pp. 391-401, (1998)

[4]

Vidakovic B., Rugger F., Bams Method: Theory and simulations, Indian Journal of Statistic, 63, 2, pp. 234-249, (2001)

[5]

Pizurica A., Philips W., Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising, IEEE Transactions On Image Processing, 15, 3, pp. 654-665, (2006)

[6]

Portilla J., Strela V., Wainwright M., Simoncelli E.P., Image denoising using scale mixtures of Gaussians in the wavelet domain, IEEE Transactions On Image Processing, 12, 11, pp. 1338-1351, (2003)

[7]

Boubchir L., Fadili J.M., A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate α-stable prior, Pattern Recognition Letter, 27, 12, pp. 1370-1382, (2006)

[8]

Fadili J.M., Boubchir L., Analytical form for a Bayesian wavelet estimator of images using the Bessel k forms densities, IEEE Transactions On Image Processing, 14, 2, pp. 323-329, (2005)

[9]

Nadarajah S., Kotz S., The BKF Bayesian wavelet estimator, Signal Processing, 87, 9, pp. 2268-2271, (2007)

[10]

Shi F., Selesnick I.W., An elliptically contoured exponential mixture model for wavelet based image denoising, Applied and Computational Harmonic Analysis, 23, 1, pp. 131-151, (2007)

← 1 2 3 →