5.3.8 Noise Removal, Denoising

Kubba, M.H.,
Automatic Picture Detail Detection in the Presence of Random Noise,
PIEEE(51), No. 11, November 1963, pp. 1518-1523. BibRef 6311

Lev, A., Zucker, S.W., and Rosenfeld, A.,
Iterative Enhancement of Noisy Images,
SMC(7), 1977, pp. 435-442. Relaxation. BibRef 7700

Davis, L.S., Rosenfeld, A.,
Noise Cleaning by Iterated Local Averaging,
SMC(8), 1978, pp. 705-710. BibRef 7800

Ali, F., Pavlidis, T.,
Noise Filtering in Binary Pictures by Combinatorial Techniques,
PR(15), No. 3, 1982, pp. 131-135.
WWW Version. BibRef 8200

Arai, Y.[Yoshio], Kataoka, H.[Hiroyuki], Suzuki, I.[Isao], Yokota, S.[Shozo],
Visual image noise eliminating system,
US_Patent4,298,895, Nov 3, 1981
WWW Version. BibRef 8111

Abdelmalek, N.N.,
Noise Filtering in Digital Images and Approximation Theory,
PR(19), No. 5, 1986, pp. 417-424.
WWW Version. BibRef 8600

Chin, R.T., Yeh, C.L.,
Quantitative Evaluation of Some Edge Preserving Noise Smoothing Techniques,
CVGIP(23), No. 1, July 1983, pp. 67-91.
WWW Version. BibRef 8307

Dave, J.V., Gazdag, J.,
Reduction of Random Noise from Multiband Image Data Using Phase Relationships Among Their Fourier Coefficients,
IBMRD(28), 1984, pp. 399-411. BibRef 8400

Harouche, E., Peleg, S., Shvaytser, H., Davis, L.S.,
Noisy Image Restoration by Cost Function Minimization,
PRL(3), 1985, pp. 65-69. BibRef 8500

Zhao, Y.[Yunxin], Zhuang, X.H.[Xin-Hua], Atlas, L.[Les], Anderson, L.[Lars],
Parameter Estimation and Restoration of Noisy Images Using Gibbs Distributions in Hidden Markov Models,
GMIP(54), No. 3, May 1992, pp. 187-197. BibRef 9205

Boie, R.A., and Cox, I.J.,
An Analysis of Camera Noise,
PAMI(14), No. 6, June 1992, pp. 671-674.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9206

Wu, W.Y.[Wen-Yen], Wang, M.J.J.[Mao-Jiun J.], Liu, C.M.[Chih-Ming],
Performance Evaluation of Some Noise Reduction Methods,
GMIP(54), No. 2, March 1992, pp. 134-146. BibRef 9203

Dougherty, E.R., Haralick, R.M.,
Hole-Spectrum Representation and Model-Based Optimal Morphological Restoration of Binary Images Degraded by Subtractive Noise,
JMIV(1), 1992, pp. 257-278. BibRef 9200

Olsen, S.I.[Søren I.],
Estimation of Noise in Images: An Evaluation,
GMIP(55), No. 4, July 1993, pp. 319-??. BibRef 9307

Wong, Y.F.[Yiu-Fai],
Clustering filter method for noise filtering, scale-space filtering and image processing,
US_Patent5,424,783, Jun 13, 1995
WWW Version. BibRef 9506

Suthaharan, S., Ray, S.,
Generation of Signal-Uncorrelated Noise for Control Experiments in Image Restoration,
PRL(17), No. 3, March 6 1996, pp. 219-230. BibRef 9603

Itoh, Y.,
Detail Preserving Noise Filtering for Compressed Image,
IEICE(E79-B), No. 10, October 1996, pp. 1459-1466. 9611
BibRef

Mowforth, P.H., Jin, Z.P.,
Implementation for Noise Suppression in Images,
IVC(4), No. 1, February 1986, pp. 29-37.
WWW Version. BibRef 8602

Yung, N.H.C., Lai, A.H.S.,
Performance Evaluation of a Feature-Preserving Filtering Algorithm for Removing Additive Random Noise in Digital Images,
OptEng(35), No. 7, July 1996, pp. 1871-1885. 9608
BibRef

Konstantinides, K., Natarajan, B., Yovanof, G.S.,
Noise Estimation and Filtering Using Block-Based Singular-Value Decomposition,
IP(6), No. 3, March 1997, pp. 479-483.
IEEE DOI Link 9703
SVD. BibRef

Beghdadi, A., Khellaf, A.,
A Noise-Filtering Method Using a Local Information Measure,
IP(6), No. 6, June 1997, pp. 879-882.
IEEE DOI Link 9705
BibRef

Singh, B., Siddiqi, M.U.,
MAP Estimation of Finite Gray-Scale Digital Images Corrupted by Supremum/Infimum Noise,
IP(6), No. 8, August 1997, pp. 1077-1088.
IEEE DOI Link 9708
BibRef

Feng, O.Y., Dwyer, G.,
A Real-Time Image Noise Reduction System for FLIR Applications,
RealTimeImg(4), No. 3, June 1998, pp. 211-216. 9807
BibRef

Oja, E., Hyvärinen, A., Hoyer, P.O.[Patrik O.],
Image Feature Extraction and Denoising by Sparse Coding,
PAA(2), No. 2, 1999, pp. 104-110. BibRef 9900

Hyvarinen, A.[Aapo], Hurri, J.[Jarmo], Hoyer, P.O.[Patrik O.], Oja, E.[Erkki],
Image Feature Extraction by Sparse Coding and Independent Component Analysis,
ICPR98(Vol II: 1268-1273).
IEEE DOI Link 9808
BibRef

Park, J.W., Lee, S.U.,
Recovery of Corrupted Image Data Based on the NURBS Interpolation,
CirSysVideo(9), No. 7, October 1999, pp. 1003.
IEEE Top Reference. BibRef 9910

Bernardini, R., Cortelazzo, G.M.,
A Post-Processing Technique for Noise Removal of Range Data,
CirSysVideo(10), No. 2, March 2000, pp. 201.
IEEE Top Reference. 0003
BibRef

Farbiz, F.[Farzam], Menhaj, M.B.[Mohammad Bagher], Motamedi, S.A.[Seyed Ahmad], Hagan, M.T.,
A New Fuzzy Logic Filter for Image Enhancement,
SMC-B(30), No. 1, February 2000, pp. 110-120.
IEEE Top Reference. 0004
BibRef

Farbiz, F.[Farzam], Menhaj, M.B.[Mohammad Bagher], Motamedi, S.A.[Seyed Ahmad],
A Modified Iterative Fuzzy Control Based Filter for Image Enhancement with Multiplicative Noise Removal Property,
ICIP99(I:539-544).
IEEE Abstract. IEEE Top Reference. BibRef 9900
Earlier:
Fixed point filter design for image enhancement using fuzzy logic,
ICIP98(II: 838-842).
IEEE DOI Link 9810
BibRef

You, Y.L., Kaveh, M.,
Fourth-Order Partial Differential Equations for Noise Removal,
IP(9), No. 10, October 2000, pp. 1723-1730.
IEEE DOI Link 0010
BibRef

Chen, T., Wu, H.R.,
Recursive LMS L Filters for Noise Removal in Images,
SPLetters(8), No. 2, February 2001, pp. 36-38.
IEEE Top Reference. 0101
BibRef

Chen, T.[Tao], Wu, H.R.[Hong Ren],
Application of partition-based median type filters for suppressing noise in images,
IP(10), No. 6, June 2001, pp. 829-836.
IEEE DOI Link 0106
BibRef

Lu, Q.[Qing], Jiang, T.Z.[Tian-Zi],
Pixon-Based Image Denoising with Markov Random Fields,
PR(34), No. 10, October 2001, pp. 2029-2039.
WWW Version. 0108
Preserve small features, but remove noise. See also Pixon-based image segmentation with Markov random fields. BibRef

Tonazzini, A., Bedini, L.,
Monte Carlo Markov chain techniques for unsupervised MRF-based image denoising,
PRL(24), No. 1-3, January 2003, pp. 55-64.
HTML Version. 0211
BibRef

Chan, T.F.[Tony F.], Kang, S.H.[Sung Ha], Shen, J.H.[Jian-Hong],
Total Variation Denoising and Enhancement of Color Images Based on the CB and HSV Color Models,
JVCIR(12), No. 4, December 2001, pp. 422-435.
WWW Version. 0204
See also Total Variation Wavelet Inpainting. BibRef

Donoho, D.L.,
Denoising by Soft-Thresholding,
IT(41), No. 3, May 1995, pp. 613-627.
IEEE DOI Link BibRef 9505

Starck, J.L., Candes, E.J., Donoho, D.L.,
The Curvelet Transform for Image Denoising,
IP(11), No. 6, June 2002, pp. 670-684.
IEEE DOI Link 0207
BibRef
Earlier: A2 only: ICIP01(I: 7).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Starck, J.L., Elad, M., Donoho, D.L.,
Image decomposition via the combination of sparse representations and a variational approach,
IP(14), No. 10, October 2005, pp. 1570-1582.
IEEE DOI Link 0510
Morphological Component Analysis. Represent textured and smooth regions. Iterative thresholding. BibRef

Bobin, J.[Jérôme], Starck, J.L.[Jean-Luc], Fadili, J.M.[Jalal M.], Moudden, Y.[Yassir], Donoho, D.L.[David L.],
Morphological Component Analysis: An Adaptive Thresholding Strategy,
IP(16), No. 11, November 2007, pp. 2675-2681.
IEEE DOI Link 0709
Improve on Morphological Component Analysis to improve convergence of iteration. BibRef

Gluhovsky, I.[Ilya], Melnik, V.P.[Vladimir P.], Shmulevich, I.[Ilya],
Markov Random Field Modeling in Median Pyramidal Transform Domain for Denoising Applications,
JMIV(16), No. 3, May 2002, pp. 237-249.
WWW Version. 0211
BibRef

Atae-Allah, Z.[Zakaria], Aroza, J.M.[José Martínez],
A Filter To Remove Gaussian Noise by Clustering the Gray Scale,
JMIV(17), No. 1, July 2002, pp. 15-25.
WWW Version. 0211
BibRef

Lasota, S.[Slawomir], Niemiro, W.[Wojciech],
A version of the Swendsen-Wang algorithm for restoration of images degraded by Poisson noise,
PR(36), No. 4, April 2003, pp. 931-941.
WWW Version. 0304
See also Positron emission tomography by Markov chain Monte Carlo with auxiliary variables. BibRef

Ritter, G.X.[Gerhard X.], Urcid, G.[Gonzalo], Iancu, L.[Laurentiu],
Reconstruction of Patterns from Noisy Inputs Using Morphological Associative Memories,
JMIV(19), No. 2, September 2003, pp. 95-111.
WWW Version. 0308
BibRef

Park, U.S.[Un-Sang], Udpa, L.[Lalita], Stockman, G.C.[George C.],
Motion-based filtering of magneto-optic imagers,
IVC(22), No. 3, 1 March 2004, pp. 243-249.
WWW Version. 0402
For aircraft inspection. Eliminate noise. BibRef

Chambolle, A.[Antonin],
An Algorithm for Total Variation Minimization and Applications,
JMIV(20), No. 1-2, January-March 2004, pp. 89-97.
WWW Version. 0403
BibRef
And:
Total Variation Minimization and a Class of Binary MRF Models,
EMMCVPR05(136-152).
Springer DOI Link 0601
BibRef
Earlier:
Partial differential equations and image processing,
ICIP94(I: 16-20).
IEEE DOI Link 9411
Applications to image denoising, zooming, and the computation of the mean curvature motion of interfaces. BibRef

Jalalzai, K.[Khalid], Chambolle, A.[Antonin],
Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation,
SSVM09(368-376).
Springer DOI Link 0906
BibRef

Lu, H., Kim, Y., Anderson, J.M.M.,
Improved Poisson Intensity Estimation: Denoising Application Using Poisson Data,
IP(13), No. 8, August 2004, pp. 1128-1135.
IEEE DOI Link 0409
BibRef

Lysaker, M.[Marius], Osher, S.J., Tai, X.C.[Xue-Cheng],
Noise Removal Using Smoothed Normals and Surface Fitting,
IP(13), No. 10, October 2004, pp. 1345-1357.
IEEE DOI Link 0410
LOT Model. Alleviate the staircase effect. BibRef

Hawksford, M.O.J.,
Parametrically controlled noise shaping in variable state-step-back pseudo-trellis SDM,
VISP(152), No. 1, February 2005, pp. 87-96.
IEEE Abstract. IEEE Top Reference. 0501
BibRef

Coupier, D., Desolneux, A., Ycart, B.,
Image Denoising by Statistical Area Thresholding,
JMIV(22), No. 2-3, May 2005, pp. 183-197.
Springer DOI Link 0505
BibRef

Mahmoudi, M., Sapiro, G.,
Fast Image and Video Denoising via Nonlocal Means of Similar Neighborhoods,
SPLetters(12), No. 12, December 2005, pp. 839-842.
IEEE DOI Link 0512
BibRef

Balan, R.V.[Radu V.], Rosca, J.[Justinian], Rickard, S.T.[Scott T.],
Equivalence principle for optimization of sparse versus low-spread representations for signal estimation in noise,
IJIST(15), No. 1, 2005, pp. 10-17.
WWW Version. 0507
BibRef

Sorzano, C.O.S., Ortiz, E., López, M., Rodrigo, J.,
Improved Bayesian image denoising based on wavelets with applications to electron microscopy,
PR(39), No. 6, June 2006, pp. 1205-1213.
WWW Version. Image denoising; Bayesian filtering; Wavelets 0604
BibRef

Pizurica, A., Philips, W.,
Estimating the Probability of the Presence of a Signal of Interest in Multiresolution Single- and Multiband Image Denoising,
IP(15), No. 3, March 2006, pp. 654-665.
IEEE DOI Link 0604
BibRef

Goossens, B., Pizurica, A., Philips, W.,
Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures,
IP(18), No. 8, August 2009, pp. 1689-1702.
IEEE DOI Link 0907
See also joint inter- and intrascale statistical model for bayesian wavelet based image denoising, A. See also Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain. BibRef

Yasotharan, A., Thayaparan, T.,
Optimum time~frequency distribution for detecting a discrete-time chirp signal in noise,
VISP(153), No. 2, April 2006, pp. 132-140. 0604
BibRef

Kim, S.,
PDE-Based Image Restoration: A Hybrid Model and Color Image Denoising,
IP(15), No. 5, May 2006, pp. 1163-1170.
IEEE DOI Link 0605
BibRef

Shen, L., Papadakis, M., Kakadiaris, I.A., Konstantinidis, I., Kouri, D., Hoffman, D.,
Image Denoising Using a Tight Frame,
IP(15), No. 5, May 2006, pp. 1254-1263.
IEEE DOI Link 0605
BibRef

Santamaria-Pang, A., Bildea, T.S., Tan, S., Kakadiaris, I.A.,
Denoising for 3-D Photon-Limited Imaging Data Using Nonseparable Filterbanks,
IP(17), No. 12, December 2008, pp. 2312-2323.
IEEE DOI Link 0811
BibRef

Wei, J.[Jie],
Lebesgue anisotropic image denoising,
IJIST(15), No. 1, 2005, pp. 64-73.
WWW Version. 0507
BibRef

Faraji, H., Maclean, W.J.,
CCD Noise Removal in Digital Images,
IP(15), No. 9, August 2006, pp. 2676-2685.
IEEE DOI Link 0608
BibRef

Hirakawa, K., Parks, T.W.,
Image Denoising Using Total Least Squares,
IP(15), No. 9, August 2006, pp. 2730-2742.
IEEE DOI Link 0608
BibRef

Ortiz, F., Torres, F.,
Automatic detection and elimination of specular reflectance in color images by means of MS diagram and vector connected filters,
SMC-C(36), No. 5, September 2006, pp. 681-687.
IEEE DOI Link 0609
BibRef

Ortiz, F., Torres, F., Gil, P.,
Gaussian noise elimination in colour images by vector-connected filters,
ICPR04(IV: 807-810).
IEEE DOI Link 0409
BibRef

Elad, M.[Michael], Aharon, M.[Michal],
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries,
IP(15), No. 12, December 2006, pp. 3736-3745.
IEEE DOI Link 0611
BibRef
Earlier:
Image Denoising Via Learned Dictionaries and Sparse representation,
CVPR06(I: 895-900).
IEEE DOI Link 0606
BibRef

Protter, M., Elad, M.,
Image Sequence Denoising via Sparse and Redundant Representations,
IP(18), No. 1, January 2009, pp. 27-35.
IEEE DOI Link 0812
See also Generalizing the Nonlocal-Means to Super-Resolution Reconstruction. BibRef

Aharon, M.[Michal], Elad, M.[Michael],
Sparse And Redundant Modeling Of Image Content Using An Image-Signature-Dictionary,
SIIMS(1), No. 3, 2008, pp. 228-247. sparse representation; matching pursuit; denoising; image-signature; dictionary; learning; MOD
WWW Version.
WWW Version. BibRef 0800

Mairal, J.[Julien], Elad, M.[Michael], Sapiro, G.[Guillermo],
Sparse Representation for Color Image Restoration,
IP(17), No. 1, January 2008, pp. 53-69.
IEEE DOI Link 0712
BibRef
Earlier: A1, A3, A2:
Multiscale Sparse Image Representation with Learned Dictionaries,
ICIP07(III: 105-108).
IEEE DOI Link 0709
BibRef

Bruckstein, A.M., Elad, M.,
On Sparse Signal Representations,
ICIP01(I: 3-6).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Elad, M.[Michael], Matalon, B.[Boaz], Zibulevsky, M.[Michael],
Image Denoising with Shrinkage and Redundant Representations,
CVPR06(II: 1924-1931).
IEEE DOI Link 0606
BibRef

Pan, R., Reeves, S.J.,
Efficient Huber-Markov Edge-Preserving Image Restoration,
IP(15), No. 12, December 2006, pp. 3728-3735.
IEEE DOI Link 0611
BibRef

Xiao, J.J., Luo, Z.Q., Giannakis, G.B.,
Performance Bounds for the Rate-Constrained Universal Decentralized Estimators,
SPLetters(14), No. 1, January 2007, pp. 47-50.
IEEE DOI Link 0701
BibRef

Lerallut, R.[Romain], Decenciere, E.[Etienne], Meyer, F.[Fernand],
Image filtering using morphological amoebas,
IVC(25), No. 4, April 2007, pp. 395-404.
WWW Version. 0702
Anisotropic filters; Noise reduction; Morphological filters; Color filters; 3D image processing BibRef

Lerallut, R., Boehm, M., Decenciere, E., Meyer, F.,
Noise Reduction in 3D Images Using Morphological Amoebas,
ICIP05(I: 109-112).
IEEE DOI Link 0512
BibRef

Mignotte, M.,
Image Denoising by Averaging of Piecewise Constant Simulations of Image Partitions,
IP(16), No. 2, February 2007, pp. 523-533.
IEEE DOI Link 0702
BibRef

Olhede, S.C.,
Hyperanalytic Denoising,
IP(16), No. 6, June 2007, pp. 1522-1537.
IEEE DOI Link 0706
BibRef

Cheng, T., Belzer, B.J., Sivakumar, K.,
Row-Column Soft-Decision Feedback Algorithm for Two-Dimensional Intersymbol Interference,
SPLetters(14), No. 7, July 2007, pp. 433-436.
IEEE DOI Link 0707
Corrupted binary images. BibRef

Shang, L.[Li],
Non-negative sparse coding shrinkage for image denoising using normal inverse Gaussian density model,
IVC(26), No. 8, 1 August 2008, pp. 1137-1147.
WWW Version. 0806
Normal inverse Gaussian density; Image denoising; Non-negative sparse coding; Shrinkage function; Maximum a posterior estimator BibRef

Shang, L.[Li], Huang, D.S.A.[De-Shu-Ang],
Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm,
CVPR05(I: 1017-1022).
IEEE DOI Link 0507
BibRef

Shi, Y.Y.[Yu-Ying],
Convergence of Fixed Point Iteration for Modified Restoration Problems,
JMIV(32), No. 1, September 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef

Bi, D.L.[Dong-Liang], Guo, W.[Wei], Xu, A.D.[Ai-Dong],
A New Noise Removing Algorithm,
IJIG(6), No. 4, October 2006, pp. 677-687. 0610
BibRef

Singer, A.[Amit], Shkolnisky, Y.[Yoel], Nadler, B.[Boaz],
Diffusion Interpretation Of Nonlocal Neighborhood Filters For Signal Denoising,
SIIMS(2), No. 1, 2009, pp. 118-139. denoising; neighborhood filters; nonlocal means; FokkerPlanck equation; first passage time.
WWW Version.
WWW Version. BibRef 0900

Aja-Fernandez, S.[Santiago], Vegas-Sanchez-Ferrero, G.[Gonzalo], Martin-Fernandez, M.[Marcos], Alberola-Lopez, C.[Carlos],
Automatic noise estimation in images using local statistics. Additive and multiplicative cases,
IVC(27), No. 6, 4 May 2009, pp. 756-770.
Elsevier DOI Link
WWW Version. 0904
Noise estimation; Mode; Restoration; Gaussian noise; Local statistics BibRef

Dong, F.F.[Fang-Fang], Liu, Z.[Zhen], Kong, D.X.[De-Xing], Liu, K.F.[Ke-Feng],
An Improved LOT Model for Image Restoration,
JMIV(34), No. 1, May 2009, pp. xx-yy.
Springer DOI Link 0905
Smooth angle rather than normal. Preserve fine structure. See also Noise Removal Using Smoothed Normals and Surface Fitting. BibRef

Wu, Y.D., Sun, Y., Zhang, H.Y., Sun, S.X.,
Variational PDE based image restoration using neural network,
IET-IPR(1), No. 1, March 2007, pp. 85-93.
WWW Version. 0905
BibRef

Lefkimmiatis, S.[Stamatios], Maragos, P.[Petros], Papandreou, G.[George],
Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising,
IP(18), No. 8, August 2009, pp. 1724-1741.
IEEE DOI Link 0907
BibRef
Earlier: A1, A3, A2:
Photon-limited image denoising by inference on multiscale models,
ICIP08(2332-2335).
IEEE DOI Link 0810
BibRef
Earlier: A3, A2, Only:
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion,
CVPR05(I: 625-630).
IEEE DOI Link 0507
BibRef
And: A3, A2, Only:
Image Denoising in Nonlinear Scale-Spaces: Automatic Scale Selection via Cross-Validation,
ICIP05(I: 481-484).
IEEE DOI Link 0512
BibRef

Hajiaboli, M.R.[Mohammad Reza],
An Anisotropic Fourth-Order Partial Differential Equation for Noise Removal,
SSVM09(356-367).
Springer DOI Link 0906
BibRef
And:
A Self-governing Hybrid Model for Noise Removal,
PSIVT09(295-305).
Springer DOI Link 0901
BibRef

Xu, H.[Hao], Xu, J.Z.[Ji-Zheng], Wu, F.[Feng],
A post-compensation scheme for Nonlocal Means filter based image restoration,
ICIP08(545-548).
IEEE DOI Link 0810
BibRef

Pelletier, S.[Stephane], Cooperstock, J.R.[Jeremy R.],
Efficient image restoration with the Huber-Markov prior model,
ICIP08(513-516).
IEEE DOI Link 0810
BibRef

Peter, J.D.[J. Dinesh], Govindan, V.K., Mathew, A.T.[Abraham T.],
Robust Estimation Approach for NL-Means Filter,
ISVC08(II: 571-580).
Springer DOI Link 0812
BibRef

Li, Y.P.[Yun-Peng], Huttenlocher, D.P.[Daniel P.],
Sparse Long-Range Random Field and Its Application to Image Denoising,
ECCV08(III: 344-357).
Springer DOI Link 0810
BibRef

Huhle, B.[Benjamin], Schairer, T.[Timo], Jenke, P.[Philipp], Strasser, W.[Wolfgang],
Robust non-local denoising of colored depth data,
TOF-CV08(1-7).
IEEE DOI Link 0806
BibRef

Zhang, Q.[Qin], Sun, J.[Jie], Xu, G.L.[Guo-Liang],
Noise Removal Based on the Variation of Digitized Energy,
GMP08(xx-yy).
Springer DOI Link 0804
BibRef

Ji, T.Y., Lu, Z., Wu, Q.H.,
A Particle Swarm Optimizer Applied to Soft Morphological Filters for Periodic Noise Reduction,
EvoIASP07(367-374).
Springer DOI Link 0704
BibRef

Park, H.C.[Hee-Chan], Martin, G.R.[Graham R.], Yao, Z.[Zhen],
Image Denoising with Directional Bases,
ICIP07(I: 301-304).
IEEE DOI Link 0709
BibRef

Kim, S.J.[Seong-Jai], Kwon, S.H.[Song-Hwa],
Explicit Nonflat Time Evolution for PDE-Based Image Restoration,
ICCVGIP06(35-44).
Springer DOI Link 0612
BibRef

Saeidi, M., Moradi, M.H., Sagafi, F.,
Filtering Image Sequences Corrupted by Mixed Noise using a New Fuzzy Algorithm,
ICIP06(1797-1800). 0610

IEEE DOI Link BibRef

Bosco, A., Bruna, A., Smith, S., Tomaselli, V.,
Fast Noise Level Estimation using a Convergent Multiframe Approach,
ICIP06(2621-2624). 0610

IEEE DOI Link BibRef

Wang, Z.Z.[Zhao-Zhong], Qi, F.H.[Fei-Hu], Zhou, F.G.[Fu-Gen],
A Discontinuous Finite Element Method for Image Denoising,
ICIAR06(I: 116-125).
Springer DOI Link 0610
BibRef

Moreno, R.[Rodrigo], Garcia, M.A.[Miguel Angel], Puig, D.[Domenec], Julià, C.[Carme],
On Adapting the Tensor Voting Framework to Robust Color Image Denoising,
CAIP09(492-500).
Springer DOI Link 0909
BibRef

Tai, Y.W.[Yu-Wing], Tong, W.S.[Wai-Shun], Tang, C.K.[Chi-Keung],
Simultaneous Image Denoising and Compression by Multiscale 2D Tensor Voting,
ICPR06(III: 818-821).
WWW Version. 0609
BibRef

Yao, Z.[Zhen], Rajpoot, N.M.,
Image Denoising Using Multiscale Directional Cosine Bases,
ICIP05(III: 313-316).
IEEE DOI Link 0512
BibRef

Buades, A.[Antoni], Morel, J.M.[Jean-Michel],
A Non-Local Algorithm for Image Denoising,
CVPR05(II: 60-65).
IEEE DOI Link 0507
BibRef

Scheunders, P., Driesen, J.,
Least-squares interband denoising of color and multispectral images,
ICIP04(II: 985-988).
IEEE DOI Link 0505
BibRef

Shuklal, R., Vetterli, M.,
Geometrical image denoising using quadtree segmentation,
ICIP04(II: 1213-1216).
IEEE DOI Link 0505
BibRef

Combettes, P.L., Wajs, V.R.,
Theoretical analysis of some regularized image denoising methods,
ICIP04(II: 969-972).
IEEE DOI Link 0505
BibRef

Sivaramakrishnan, K., Weissman, T.,
Universal Denoising of Continuous Amplitude Signals with Applications to Images,
ICIP06(2609-2612). 0610

IEEE DOI Link BibRef

Gemelos, G., Sigurjonsson, S., Weissman, T.,
Universal minimax binary image denoising under channel uncertainty,
ICIP04(II: 997-1000).
IEEE DOI Link 0505
BibRef

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ICIP02(III: 597-600).
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ICIP99(IV:328-332).
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CIAP99(119-124).
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ICIP99(II:406-409).
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ICIP01(I: 598-601).
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ICIP99(I:605-609).
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ICPR98(Vol II: 1610-1612).
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PCS97(39-43). minimum message length MML information theoretic local segmentation
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ICIP98(II: 88-92).
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ICIP97(I: 691-694).
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SCIA97(xx-yy) 9705

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ICIP96(I: 415-418).
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van Roosmalen, P.M.B.[Peter M.B.], Westen, S.J.P., Lagendijk, R.L., Biemond, J.,
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ICIP96(I: 375-378).
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Chen, M.Y.[Mu-Yenc], Chao, J.J.[Jung-Jae],
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ICIP96(I: 395-398).
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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Noise Removal, Impulse Noise .