*Zhou, Y.T.*,
*Chellappa, R.*, and
*Jenkins, B.K.*,

**Image Restoration Using a Neural Network**,

*ASSP(36)*, July 1988, pp. 1141-1151.
BibRef
**8807**

*Figueiredo, M.A.T.*,
*Leitao, J.M.N.*,

**Sequential and Parallel Image Restoration:
Neural Network Implementations**,

*IP(3)*, No. 6, November 1994, pp. 789-801.

IEEE DOI
**0402**

BibRef

And:

**Adaptive discontinuity location in image restoration**,

*ICIP94*(II: 665-669).

IEEE DOI
**9411**

BibRef

*Wong, H.S.[Hau-San]*,
*Guan, L.[Ling]*,

**Adaptive Regularization in Image Restoration Using a
Model Based Neural Network**,

*OptEng(36)*, No. 12, December 1997, pp. 3297-3308.
**9801**

BibRef

*Wong, H.S.[Hau-San]*,
*Guan, L.[Ling]*,

**Adaptive Regularization in Image Restoration by Unsupervised Learning**,

*JEI(7)*, No. 1, January 1998, pp. 211-221.
**9807**

BibRef

And:

**A Fuzzy Model-based Neural Network for Adaptive Regularization in Image
Restoration**,

*ICIP99*(I:391-395).

IEEE DOI
BibRef

*Leitao, J.M.N.*,
*Figueiredo, M.A.T.*,

**Absolute Phase Image-Reconstruction:
A Stochastic Nonlinear Filtering Approach**,

*IP(7)*, No. 6, June 1998, pp. 868-882.

IEEE DOI
**9806**

BibRef

*Wang, Y.*,
*Wahl, F.M.*,

**Multiobjective Neural Network for Image Reconstruction**,

*VISP(144)*, No. 4, August 1997, pp. 233-236.
**9806**

BibRef

*Sun, Y.[Yi]*,
*Li, J.G.[Jie-Gu]*,
*Yu, S.Y.[Song-Yu]*,

**Improvement on performance of modified Hopfield neural network for
image restoration**,

*IP(4)*, No. 5, May 1995, pp. 688-692.

IEEE DOI
**0402**

BibRef

*Wang, Y.M.[Yuan-Mei]*,

**Neural Network Approach to Image Reconstruction from Projections**,

*IJIST(9)*, No. 5, 1999, pp. 381-387.
BibRef
**9900**

*Woo, W.L.*,
*Khor, L.C.*,

**Blind restoration of nonlinearly mixed signals using multilayer
polynomial neural network**,

*VISP(151)*, No. 1, February 2004, pp. 51-61.

IEEE Abstract.
**0403**

BibRef

*Woo, W.L.*,
*Dlay, S.S.*,

**Regularised nonlinear blind signal separation using sparsely connected
network**,

*VISP(152)*, No. 1, February 2005, pp. 61-73.

IEEE Abstract.
**0501**

BibRef

*Woo, W.L.*,
*Dlay, S.S.*,

**Nonlinear blind source separation using a hybrid RBF-FMLP network**,

*VISP(152)*, No. 2, April 2005, pp. 173-183.

DOI Link
**0510**

BibRef

*Khor, L.C.*,
*Woo, W.L.*,
*Dlay, S.S.*,

**Nonlinear blind signal separation with intelligent controlled learning**,

*VISP(152)*, No. 3, June 2005, pp. 297-306.

DOI Link
**0510**

BibRef

*Wei, C.*,
*Woo, W.L.*,
*Dlay, S.S.*,
*Khor, L.C.*,

**Maximum a posteriori-based approach to blind nonlinear underdetermined
mixture**,

*VISP(153)*, No. 4, August 2006, pp. 419-430.

WWW Link.
**0705**

BibRef

*Bao, P.[Paul]*,
*Wang, D.H.[Dian-Hui]*,

**An Edge-Preserving Image Reconstruction Using Neural Network**,

*JMIV(14)*, No. 2, March 2001, pp. 117-130.

DOI Link
**0106**

BibRef

*Wang, Y.Q.[Yi-Qing]*,
*Morel, J.M.[Jean-Michel]*,

**Can a Single Image Denoising Neural Network Handle All Levels of
Gaussian Noise?**,

*SPLetters(21)*, No. 9, Sept 2014, pp. 1150-1153.

IEEE DOI
**1406**

See also SURE Guided Gaussian Mixture Image Denoising. Gaussian noise
BibRef

*Wang, Y.Q.[Yi-Qing]*,

**A Note on the Size of Denoising Neural Networks**,

*SIIMS(9)*, No. 1, 2016, pp. 275-286.

DOI Link
**1604**

BibRef

*Wang, Y.Q.[Yi-Qing]*,

**Small Neural Networks can Denoise Image Textures Well:
A Useful Complement to BM3D**,

*IPOL(6)*, 2016, pp. 1-7.

DOI Link
**1601**

See also Image denoising: Can plain neural networks compete with BM3D?.
See also Analysis and Implementation of the BM3D Image Denoising Method, Image Processing, An.
See also Fast C++ Implementation of Neural Network Backpropagation Training Algorithm: Application to Bayesian Optimal Image Demosaicing, A.
BibRef

*Lyu, G.[Guohao]*,
*Yin, H.[Hui]*,
*Yu, X.[Xinyan]*,
*Luo, S.W.[Si-Wei]*,

**A Local Characteristic Image Restoration Based on Convolutional Neural
Network**,

*IEICE(E99-D)*, No. 8, August 2016, pp. 2190-2193.

WWW Link.
**1608**

BibRef

*Zhang, K.[Kai]*,
*Zuo, W.M.[Wang-Meng]*,
*Chen, Y.J.[Yun-Jin]*,
*Meng, D.Y.[De-Yu]*,
*Zhang, L.[Lei]*,

**Beyond a Gaussian Denoiser:
Residual Learning of Deep CNN for Image Denoising**,

*IP(26)*, No. 7, July 2017, pp. 3142-3155.

IEEE DOI
**1706**

Computational modeling, Image denoising, Neural networks,
Noise level, Noise reduction, Training, Transform coding,
Image denoising, batch normalization,
convolutional neural networks, residual, learning
BibRef

IEEE DOI

Image reconstruction, Image resolution, Image restoration, Neural networks, Noise reduction, Training, Visualization BibRef

*Chaudhury, S.*,
*Roy, H.*,

**Can fully convolutional networks perform well for general image
restoration problems?**,

*MVA17*(254-257)

DOI Link
**1708**

Convolution, Image denoising, Image reconstruction,
Image restoration, Image segmentation, Noise measurement, Training
BibRef

*Divakar, N.*,
*Babu, R.V.*,

**Image Denoising via CNNs: An Adversarial Approach**,

*NTIRE17*(1076-1083)

IEEE DOI
**1709**

Feature extraction, Generators, Image denoising,
Image reconstruction, Noise measurement, Noise reduction, Training
BibRef

*Koziarski, M.[Michal]*,
*Cyganek, B.[Boguslaw]*,

**Deep Neural Image Denoising**,

*ICCVG16*(163-173).

Springer DOI
**1611**

BibRef

*Mejía-Lavalle, M.[Manuel]*,
*Ortiz, E.[Estela]*,
*Mújica, D.[Dante]*,
*Ruiz, J.[José]*,
*Reyes, G.[Gerardo]*,

**An Effective Image De-noising Alternative Approach Based on Third
Generation Neural Networks**,

*MCPR16*(64-73).

Springer DOI
**1608**

BibRef

*Jiang, M.Y.[Ming-Yong]*,
*Chen, X.N.[Xiang-Ning]*,
*Yu, X.Q.[Xia-Qiong]*,

**Adaptive Sub-Optimal Hopfield Neural Network image restoration base on
edge detection**,

*IASP11*(364-367).

IEEE DOI
**1112**

BibRef

*Bernues, E.*,
*Cisneros, G.*,
*Capella, M.*,

**Truncated edges estimation using MLP neural nets applied to regularized
image restoration**,

*ICIP02*(I: 341-344).

IEEE DOI
**0210**

BibRef

*Chen, Z.Y.[Zhong-Yu]*,
*Desai, M.*,

**Multiple-valued feedback neural networks for image restoration**,

*ICIP96*(I: 753-756).

IEEE DOI
**9610**

BibRef

*Beaudot, W.H.A.[William H.A.]*,

**Adaptive Spatiotemporal Filtering by a Neuromorphic Model
of the Vertebrate Retina**,

*ICIP96*(I: 427-430).

IEEE DOI
BibRef
**9600**

*Stajniak, A.*,
*Szostakowski, J.*,

**Neural implementation of ARMA type filters for image restoration**,

*ICIP95*(II: 520-522).

IEEE DOI
**9510**

BibRef

*Tan, B.H.[Beng-Heok]*,
*Wahah, A.*,
*Tan, E.C.[Eng-Chong]*,

**A neural approach to optical image reconstruction**,

*ICIP95*(II: 531-534).

IEEE DOI
**9510**

BibRef

*Muneyasu, M.*,
*Yamamoto, K.*,
*Hinamoto, T.*,

**Image restoration using layered neural networks and Hopfield networks**,

*ICIP95*(II: 33-36).

IEEE DOI
**9510**

BibRef

*Swiniarski, R.*,
*Butler, M.P.*,

**Neural recurrent estimator to gray scale image restoration based on 2D
Kalman filtering**,

*ICPR92*(III:425).

IEEE DOI
**9208**

BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in

Noise Removal, Denoising .

Last update:Sep 25, 2017 at 16:36:46