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Items: 1 to 20 of 174

1.

Wavelet Bayesian network image denoising.

Ho J, Hwang WL.

IEEE Trans Image Process. 2013 Apr;22(4):1277-90. doi: 10.1109/TIP.2012.2220150. Epub 2012 Sep 21.

PMID:
23014750
2.

Efficient image denoising method based on a new adaptive wavelet packet thresholding function.

Fathi A, Naghsh-Nilchi AR.

IEEE Trans Image Process. 2012 Sep;21(9):3981-90. doi: 10.1109/TIP.2012.2200491. Epub 2012 May 22.

PMID:
22645265
3.

The Application of Wavelet-Domain Hidden Markov Tree Model in Diabetic Retinal Image Denoising.

Cui D, Liu M, Hu L, Liu K, Guo Y, Jiao Q.

Open Biomed Eng J. 2015 Aug 31;9:194-8. doi: 10.2174/1874120701509010194. eCollection 2015.

4.
5.

Image denoising using derotated complex wavelet coefficients.

Miller M, Kingsbury N.

IEEE Trans Image Process. 2008 Sep;17(9):1500-11. doi: 10.1109/TIP.2008.926146.

PMID:
18701390
6.

Complex denoising of MR data via wavelet analysis: application for functional MRI.

Zaroubi S, Goelman G.

Magn Reson Imaging. 2000 Jan;18(1):59-68.

PMID:
10642103
7.

Bayesian tree-structured image modeling using wavelet-domain hidden Markov models.

Romberg JK, Choi H, Baraniuk RG.

IEEE Trans Image Process. 2001;10(7):1056-68. doi: 10.1109/83.931100.

PMID:
18249679
8.

Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain.

Yu H, Zhao L, Wang H.

IEEE Trans Image Process. 2009 Oct;18(10):2364-9. doi: 10.1109/TIP.2009.2026685. Epub 2009 Jul 6.

PMID:
19586815
9.

Bayesian wavelet-based image denoising using the Gauss-Hermite expansion.

Rahman SM, Ahmad MO, Swamy MN.

IEEE Trans Image Process. 2008 Oct;17(10):1755-71. doi: 10.1109/TIP.2008.2002163.

PMID:
18784025
10.
12.

[A new CBCT denoising method based on coefficient classification].

Sun Q, Yin Y, Lu J, Peng Y.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Jun;27(3):658-65. Chinese.

PMID:
20649039
13.

Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing.

Wink AM, Roerdink JB.

IEEE Trans Med Imaging. 2004 Mar;23(3):374-87.

PMID:
15027530
14.

[DR image denoising based on Laplace-Impact mixture model].

Feng GD, He XB, Zhou HQ.

Zhongguo Yi Liao Qi Xie Za Zhi. 2009 Jul;33(4):247-50. Chinese.

PMID:
19938519
15.

Hidden Markov models for wavelet-based blind source separation.

Ichir MM, Mohammad-Djafari A.

IEEE Trans Image Process. 2006 Jul;15(7):1887-99.

PMID:
16830910
16.

A new SURE approach to image denoising: interscale orthonormal wavelet thresholding.

Luisier F, Blu T, Unser M.

IEEE Trans Image Process. 2007 Mar;16(3):593-606.

PMID:
17357721
17.

Removal of correlated noise by modeling the signal of interest in the wavelet domain.

Goossens B, Pizurica A, Philips W.

IEEE Trans Image Process. 2009 Jun;18(6):1153-65. doi: 10.1109/TIP.2009.2017169. Epub 2009 Apr 24.

PMID:
19398408
18.

Satellite image deconvolution based on nonlocal means.

Zhao M, Zhang W, Wang Z, Hou Q.

Appl Opt. 2010 Nov 10;49(32):6286-94. doi: 10.1364/AO.49.006286.

PMID:
21068860
19.

Wavelet denoising of multicomponent images using gaussian scale mixture models and a noise-free image as priors.

Scheunders P, De Backer S.

IEEE Trans Image Process. 2007 Jul;16(7):1865-72.

PMID:
17605384
20.

Robust non-homomorphic approach for speckle reduction in medical ultrasound images.

Gupta S, Chauhan RC, Saxena SC.

Med Biol Eng Comput. 2005 Mar;43(2):189-95.

PMID:
15865126

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