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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.
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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.
3
Image denoising using mixtures of projected Gaussian Scale Mixtures.
IEEE Trans Image Process. 2009 Aug;18(8):1689-702. doi: 10.1109/TIP.2009.2022006. Epub 2009 May 2.
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Image compression via joint statistical characterization in the wavelet domain.
IEEE Trans Image Process. 1999;8(12):1688-701. doi: 10.1109/83.806616.
5
Directional multiscale modeling of images using the contourlet transform.
IEEE Trans Image Process. 2006 Jun;15(6):1610-20. doi: 10.1109/tip.2006.873450.
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Denoising of polychromatic CT images based on their own noise properties.
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7
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.
8
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.
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Image denoising using derotated complex wavelet coefficients.
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Predicting the Partition of Behavioral Variability in Speed Perception with Naturalistic Stimuli.
J Neurosci. 2020 Jan 22;40(4):864-879. doi: 10.1523/JNEUROSCI.1904-19.2019. Epub 2019 Nov 26.
2
The statistics of how natural images drive the responses of neurons.
J Vis. 2019 Nov 1;19(13):4. doi: 10.1167/19.13.4.
3
Compressed Sensing With a Gaussian Scale Mixture Model for Limited View Photoacoustic Computed Tomography In Vivo.
Technol Cancer Res Treat. 2018 Jan 1;17:1533033818808222. doi: 10.1177/1533033818808222.
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Robust Dehaze Algorithm for Degraded Image of CMOS Image Sensors.
Sensors (Basel). 2017 Sep 22;17(10):2175. doi: 10.3390/s17102175.
7
Nonlinear extraction of independent components of natural images using radial gaussianization.
Neural Comput. 2009 Jun;21(6):1485-519. doi: 10.1162/neco.2009.04-08-773.
8
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.

本文引用的文献

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Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
IEEE Trans Pattern Anal Mach Intell. 1984 Jun;6(6):721-41. doi: 10.1109/tpami.1984.4767596.
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Optimal denoising in redundant representations.
IEEE Trans Image Process. 2008 Aug;17(8):1342-52. doi: 10.1109/TIP.2008.925392.
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Nonlinear image recovery with half-quadratic regularization.
IEEE Trans Image Process. 1995;4(7):932-46. doi: 10.1109/83.392335.
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Image compression via joint statistical characterization in the wavelet domain.
IEEE Trans Image Process. 1999;8(12):1688-701. doi: 10.1109/83.806616.
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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.
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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.
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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.
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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.
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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.

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