See also BM3D Frames and Variational Image Deblurring.

*Dabov, K.[Kostadin]*,
*Foi, A.[Alessandro]*,
*Katkovnik, V.[Vladimir]*,
*Egiazarian, K.O.[Karen O.]*,

**Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering**,

*IP(16)*, No. 8, August 2007, pp. 2080-2095.

IEEE DOI
**0709**

BibRef

And:

**Color Image Denoising via Sparse 3D Collaborative Filtering with
Grouping Constraint in Luminance-Chrominance Space**,

*ICIP07*(I: 313-316).

IEEE DOI
**0709**

See also Comments on Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering.
BibRef

*Dabov, K.[Kostadin]*,
*Foi, A.[Alessandro]*,
*Egiazarian, K.O.[Karen O.]*,

**Video denoising by sparse 3D transform-domain
collaborative filtering**,

*EUSIPCO07*VBM3D.
Extends the image denoising to video.
BibRef
**0700**

*Mäkinen, Y.[Ymir]*,
*Azzari, L.[Lucio]*,
*Foi, A.[Alessandro]*,

**Collaborative Filtering of Correlated Noise: Exact Transform-Domain
Variance for Improved Shrinkage and Patch Matching**,

*IP(29)*, 2020, pp. 8339-8354.

IEEE DOI
**2008**

BibRef

Earlier:

**Exact Transform-Domain Noise Variance for Collaborative Filtering of
Stationary Correlated Noise**,

*ICIP19*(185-189)

IEEE DOI
**1910**

Transforms, Noise reduction, Collaboration, Kernel, Correlation,
BM3D.
Image denoising, correlated noise, collaborative filtering,
noise power spectrum.
BibRef

*Lebrun, M.[Marc]*,

**An Analysis and Implementation of the BM3D Image Denoising Method,
Image Processing**,

*IPOL(2012)*, No. 2012, pp. xx-yy.

DOI Link
**1210**

*Code, Denoising*.

See also Small Neural Networks can Denoise Image Textures Well: A Useful Complement to BM3D.
BibRef

*Li, Y.[Ying_Jiang]*,
*Zhang, J.W.[Jiang-Wei]*,
*Wang, M.N.[Mao-Ning]*,

**Improved BM3D denoising method**,

*IET-IPR(11)*, No. 12, Decmeber 2017, pp. 1197-1204.

DOI Link
**1712**

Block matching 3D denoising.
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]*,
*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]*,

**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

*Djurovic, I.[Igor]*,

**Combination of the adaptive Kuwahara and BM3D filters for filtering
mixed Gaussian and impulsive noise**,

*SIViP(11)*, No. 4, May 2017, pp. 753-760.

WWW Link.
**1704**

BibRef

*Yang, D.*,
*Sun, J.*,

**BM3D-Net: A Convolutional Neural Network for Transform-Domain
Collaborative Filtering**,

*SPLetters(25)*, No. 1, January 2018, pp. 55-59.

IEEE DOI
**1801**

collaborative filtering, feedforward neural nets, grey systems,
image colour analysis, image denoising, image matching,
nonlocal methods
BibRef

*Tibbs, A.B.[Alexander B.]*,
*Daly, I.M.[Ilse M.]*,
*Roberts, N.W.[Nicholas W.]*,
*Bull, D.R.[David R.]*,

**Denoising imaging polarimetry by adapted BM3D method**,

*JOSA-A(35)*, No. 4, April 2018, pp. 690-701.

DOI Link
**1804**

Image reconstruction-restoration, Polarimetry
BibRef

*Balaji, L.*,
*Thyagharajan, K.K.*,

**An enhanced performance for H.265/SHVC based on combined AEGBM3D filter
and back-propagation neural network**,

*SIViP(12)*, No. 5, July 2018, pp. 809-817.

WWW Link.
**1806**

BibRef

*Feng, Q.P.[Qin-Ping]*,
*Tao, S.[Shuping]*,
*Xu, C.[Chao]*,
*Jin, G.[Guang]*,

**BM3D-GT&AD: an improved BM3D denoising algorithm based on Gaussian
threshold and angular distance**,

*IET-IPR(14)*, No. 3, 28 February 2020, pp. 431-441.

DOI Link
**2002**

BibRef

*Ehret, T.[Thibaud]*,
*Arias, P.[Pablo]*,

**Implementation of VBM3D and Some Variants**,

*IPOL(11)*, 2021, pp. 374-395.

DOI Link
**2112**

*Code, Viedo Denoise*. VBM3D is an extension to video of the well-known
image denoising algorithm BMD3.

See also Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering. o
BibRef

*Guo, Y.[Yu]*,
*Davy, A.[Axel]*,
*Facciolo, G.[Gabriele]*,
*Morel, J.M.[Jean-Michel]*,
*Jin, Q.[Qiyu]*,

**Fast, Nonlocal and Neural: A Lightweight High Quality Solution to
Image Denoising**,

*SPLetters(28)*, 2021, pp. 1515-1519.

IEEE DOI
**2108**

Noise reduction, Image restoration, Signal processing algorithms,
Training, Mobile handsets, Neural networks, Convolution, BM3D,
nonlocal methods
BibRef

IEEE DOI

Block matching 3D denoising. AWGN, Neurons, Computer architecture, Computational efficiency, Convolutional neural networks, Biological neural networks, discriminative learning BibRef

*Hara, K.*,
*Inoue, K.*,
*Urahama, K.*,

**Full-Reference Metric Adaptive Image Denoising**,

*ICIP19*(2419-2423)

IEEE DOI
**1910**

Denoising parameter optimization, BM3D,
full-reference image quality, Kullback-Leibler divergence
BibRef

*Xue, F.*,
*Li, J.*,
*Blu, T.*,

**An Iterative Sure-Let Deconvolution Algorithm Based on BM3D Denoiser**,

*ICIP19*(1795-1799)

IEEE DOI
**1910**

Image deconvolution, Stein's unbiased risk estimate (SURE),
linear expansion of thresholds (LET), BM3D, finite-difference Monte-Carlo
BibRef

*Feng, X.C.[Xiang-Chu]*,
*Li, X.H.[Xiao-Hui]*,
*Wang, W.W.[Wei-Wei]*,
*Jia, X.X.[Xi-Xi]*,

**Improvement of BM3D Algorithm Based on Wavelet and Directed Diffusion**,

*CMVIT17*(28-33)

IEEE DOI
**1704**

Block-matching and 3D filtering. Denoising.
BibRef

*Metzler, C.A.[Christopher A.]*,
*Maleki, A.[Arian]*,
*Baraniuk, R.G.[Richard G.]*,

**BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising**,

*ICIP16*(2504-2508)

IEEE DOI
**1610**

BibRef

Earlier:

**BM3D-AMP: A new image recovery algorithm based on BM3D denoising**,

*ICIP15*(3116-3120)

IEEE DOI
**1512**

Algorithm design and analysis.
Approximate Message Passing; Compressive Sensing; Denoising; Onsager
BibRef

*Sarjanoja, S.*,
*Boutellier, J.*,
*Hannuksela, J.*,

**BM3D image denoising using heterogeneous computing platforms**,

*DASIP15*(1-8)

IEEE DOI
**1605**

filtering theory
BibRef

*Li, L.[Lin]*,
*Wang, R.G.[Rong-Gang]*,
*Wang, W.M.[Wen-Min]*,
*Gao, W.[Wen]*,

**A low-light image enhancement method for both denoising and contrast
enlarging**,

*ICIP15*(3730-3734)

IEEE DOI
**1512**

BM3D; Contrast enhancement; adaptive denoising; dark channel; superpixel
BibRef

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

Restoration by Deconvolution, Blind Deconvolution .

Last update:May 15, 2022 at 14:39:14