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1
Image modeling and denoising with orientation-adapted Gaussian scale mixtures.
IEEE Trans Image Process. 2008 Nov;17(11):2089-101. doi: 10.1109/tip.2008.2004796.
2
Image denoising using derotated complex wavelet coefficients.
IEEE Trans Image Process. 2008 Sep;17(9):1500-11. doi: 10.1109/TIP.2008.926146.
3
Image restoration using space-variant Gaussian scale mixtures in overcomplete pyramids.
IEEE Trans Image Process. 2008 Jan;17(1):27-41. doi: 10.1109/tip.2007.911473.
4
Wavelet denoising of multicomponent images using gaussian scale mixture models and a noise-free image as priors.
IEEE Trans Image Process. 2007 Jul;16(7):1865-72. doi: 10.1109/tip.2007.899598.
6
An unbiased risk estimator for image denoising in the presence of mixed poisson-gaussian noise.
IEEE Trans Image Process. 2014 Mar;23(3):1255-68. doi: 10.1109/TIP.2014.2300821.
7
Spatially adapted total variation model to remove multiplicative noise.
IEEE Trans Image Process. 2012 Apr;21(4):1650-62. doi: 10.1109/TIP.2011.2172801. Epub 2011 Oct 19.
9
Variational denoising of partly textured images by spatially varying constraints.
IEEE Trans Image Process. 2006 Aug;15(8):2281-9. doi: 10.1109/tip.2006.875247.
10
Bayesian wavelet-based image denoising using the Gauss-Hermite expansion.
IEEE Trans Image Process. 2008 Oct;17(10):1755-71. doi: 10.1109/TIP.2008.2002163.

引用本文的文献

1
Poisson-Gaussian Noise Analysis and Estimation for Low-Dose X-ray Images in the NSCT Domain.
Sensors (Basel). 2018 Mar 29;18(4):1019. doi: 10.3390/s18041019.
2
Optimal Weights Mixed Filter for removing mixture of Gaussian and impulse noises.
PLoS One. 2017 Jul 10;12(7):e0179051. doi: 10.1371/journal.pone.0179051. eCollection 2017.
5
Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics.
PLoS Comput Biol. 2012;8(3):e1002405. doi: 10.1371/journal.pcbi.1002405. Epub 2012 Mar 1.
6
Natural image coding in V1: how much use is orientation selectivity?
PLoS Comput Biol. 2009 Apr;5(4):e1000336. doi: 10.1371/journal.pcbi.1000336. Epub 2009 Apr 3.

本文引用的文献

1
Modeling multiscale subbands of photographic images with fields of Gaussian scale mixtures.
IEEE Trans Pattern Anal Mach Intell. 2009 Apr;31(4):693-706. doi: 10.1109/TPAMI.2008.107.
2
Image compression via joint statistical characterization in the wavelet domain.
IEEE Trans Image Process. 1999;8(12):1688-701. doi: 10.1109/83.806616.
3
Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior.
IEEE Trans Image Process. 2001;10(9):1322-31. doi: 10.1109/83.941856.
5
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models.
IEEE Trans Image Process. 2001;10(7):1056-68. doi: 10.1109/83.931100.
6
Image denoising using scale mixtures of Gaussians in the wavelet domain.
IEEE Trans Image Process. 2003;12(11):1338-51. doi: 10.1109/TIP.2003.818640.
7
Image restoration using space-variant Gaussian scale mixtures in overcomplete pyramids.
IEEE Trans Image Process. 2008 Jan;17(1):27-41. doi: 10.1109/tip.2007.911473.
8
Image denoising by sparse 3-D transform-domain collaborative filtering.
IEEE Trans Image Process. 2007 Aug;16(8):2080-95. doi: 10.1109/tip.2007.901238.
9
Image denoising via sparse and redundant representations over learned dictionaries.
IEEE Trans Image Process. 2006 Dec;15(12):3736-45. doi: 10.1109/tip.2006.881969.
10
Optimal spatial adaptation for patch-based image denoising.
IEEE Trans Image Process. 2006 Oct;15(10):2866-78. doi: 10.1109/tip.2006.877529.

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