5.3.8 Noise Removal, Denoising

Chapter Contents (Back)
Noise Removal. Denoising.

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Konstantinides, K., Natarajan, B., Yovanof, G.S.,
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Beghdadi, A., Khellaf, A.,
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Singh, B., Siddiqi, M.U.,
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Feng, O.Y., Dwyer, G.,
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Oja, E., Hyvärinen, A., Hoyer, P.O.[Patrik O.],
Image Feature Extraction and Denoising by Sparse Coding,
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Hyvarinen, A.[Aapo], Hurri, J.[Jarmo], Hoyer, P.O.[Patrik O.], Oja, E.[Erkki],
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IEEE DOI 9808
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Park, J.W., Lee, S.U.,
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CirSysVideo(9), No. 7, October 1999, pp. 1003.
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Bernardini, R., Cortelazzo, G.M.,
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You, Y.L., Kaveh, M.,
Fourth-Order Partial Differential Equations for Noise Removal,
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IEEE DOI 0010
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Chen, T., Wu, H.R.,
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SPLetters(8), No. 2, February 2001, pp. 36-38.
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Chen, T.[Tao], Wu, H.R.[Hong Ren],
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Lu, Q.[Qing], Jiang, T.Z.[Tian-Zi],
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PR(34), No. 10, October 2001, pp. 2029-2039.
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Preserve small features, but remove noise. See also Pixon-based image segmentation with Markov random fields. See also Novel Pixon-Representation for Image Segmentation Based on Markov Random Field, A. BibRef

Tonazzini, A., Bedini, L.,
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Elsevier DOI 0211
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Donoho, D.L.,
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IEEE DOI 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 0207
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Earlier: A2 only: ICIP01(I: 7).
IEEE DOI 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 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 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,
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BibRef

Atae-Allah, Z.[Zakaria], Aroza, J.M.[José Martínez],
A Filter To Remove Gaussian Noise by Clustering the Gray Scale,
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Ritter, G.X.[Gerhard X.], Urcid, G.[Gonzalo], Iancu, L.[Laurentiu],
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Park, U.S.[Un-Sang], Udpa, L.[Lalita], Stockman, G.C.[George C.],
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IVC(22), No. 3, 1 March 2004, pp. 243-249.
WWW Link. 0402
For aircraft inspection. Eliminate noise. 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 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. 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 0505
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Mahmoudi, M., Sapiro, G.,
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SPLetters(12), No. 12, December 2005, pp. 839-842.
IEEE DOI 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.
DOI Link 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 Link. 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 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 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

Goossens, B.[Bart], Aelterman, J.[Jan], Luong, H.[Hiep], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
Complex wavelet joint denoising and demosaicing using Gaussian scale mixtures,
ICIP13(445-448)
IEEE DOI 1402
Image edge detection 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 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 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 0811
BibRef

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

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

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

Ortiz, F., Torres, F., Gil, P.,
Gaussian noise elimination in colour images by vector-connected filters,
ICPR04(IV: 807-810).
IEEE DOI 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 0611
BibRef
Earlier:
Image Denoising Via Learned Dictionaries and Sparse representation,
CVPR06(I: 895-900).
IEEE DOI 0606
BibRef

Sulam, J.[Jeremias], Elad, M.[Michael],
Expected Patch Log Likelihood with a Sparse Prior,
EMMCVPR15(99-111).
Springer DOI 1504
BibRef

Sulam, J.[Jeremias], Ophir, B.[Boaz], Elad, M.[Michael],
Image denoising through multi-scale learnt dictionaries,
ICIP14(808-812)
IEEE DOI 1502
Algorithm design and analysis BibRef

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

Aharon, M.[Michal], Elad, M.[Michael], Bruckstein, A.,
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TSP(54), No. 11, November 2006, pp. 4311-4322.
IEEE DOI See also implementation and detailed analysis of the K-SVD image denoising algorithm, An. BibRef 0611

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
DOI Link 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 0712
BibRef
Earlier: A1, A3, A2:
Multiscale Sparse Image Representation with Learned Dictionaries,
ICIP07(III: 105-108).
IEEE DOI 0709
BibRef

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

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

Segev, D.[Dana], Schechner, Y.Y.[Yoav Y.], Elad, M.[Michael],
Example-based cross-modal denoising,
CVPR12(486-493).
IEEE DOI 1208
BibRef

Mairal, J.[Julien], Bach, F.[Francis], Ponce, J.[Jean],
Task-Driven Dictionary Learning,
PAMI(34), No. 4, April 2012, pp. 791-804.
IEEE DOI 1203
Model data with linear combinations of few elements. BibRef

Pan, R., Reeves, S.J.,
Efficient Huber-Markov Edge-Preserving Image Restoration,
IP(15), No. 12, December 2006, pp. 3728-3735.
IEEE DOI 0611
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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 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 Link. 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 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 0702
BibRef

Olhede, S.C.,
Hyperanalytic Denoising,
IP(16), No. 6, June 2007, pp. 1522-1537.
IEEE DOI 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 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 Link. 0806
Normal inverse Gaussian density; Image denoising; Non-negative sparse coding; Shrinkage function; Maximum a posterior estimator BibRef

Shang, L.[Li], Huang, D.S.[De-Shuang],
Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm,
CVPR05(I: 1017-1022).
IEEE DOI 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 0804
BibRef

Jia, T.T.[Tong-Tong], Shi, Y.Y.[Yu-Ying], Zhu, Y.G.[Yong-Gui], Wang, L.[Lei],
An image restoration model combining mixed L1/L2 fidelity terms,
JVCIR(38), No. 1, 2016, pp. 461-473.
Elsevier DOI 1605
Image restoration 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.
DOI Link BibRef 0900

Levin, A.[Anat], Nadler, B.[Boaz],
Natural image denoising: Optimality and inherent bounds,
CVPR11(2833-2840).
IEEE DOI 1106
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 0905
Smooth angle rather than normal. Preserve fine structure. See also Noise Removal Using Smoothed Normals and Surface Fitting. BibRef

Liu, Z.[Zhen], Dong, F.F.[Fang-Fang], Bai, Y.Q.[Yong-Qiang], Liu, K.F.[Ke-Feng],
Discrete Total Variation Model with Gradient Fidelity Term for Image Restoration,
CISP09(1-5).
IEEE DOI 0910
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.
DOI Link 0905
BibRef

Gowda, R.[Rahul], Mehta, S.M.[Shalin M.], Yang, Y.[Yue], Li, B.X.[Bao-Xin],
Adaptive Nonlinear Image Enhancement of Gaussian Degraded Images,
IJIG(10), No. 3, July 2010, pp. 365-393.
DOI Link 1003
BibRef

Motta, G., Ordentlich, E., Ramirez, I., Seroussi, G., Weinberger, M.J.,
The iDUDE Framework for Grayscale Image Denoising,
IP(20), No. 1, January 2011, pp. 1-21.
IEEE DOI 1101
BibRef
Earlier:
The Dude Framework for Continuous Tone Image Denoising,
ICIP05(III: 345-348).
IEEE DOI 0512
BibRef

Ordentlich, E., Seroussi, G., Verdii, S., Weinberger, M.J., Weissman, T.,
A discrete universal denoiser and its application to binary images,
ICIP03(I: 117-120).
IEEE DOI 0312
BibRef

Grewenig, S.[Sven], Zimmer, S.[Sebastian], Weickert, J.[Joachim],
Rotationally invariant similarity measures for nonlocal image denoising,
JVCIR(22), No. 2, February 2011, pp. 117-130.
Elsevier DOI 1102
Block matching; Similarity measures; Moment invariants; Rotational invariance; Nonlocal means; Denoising; Rotation estimation; Structure tensor BibRef

Nielsen, A.A.,
Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations,
IP(20), No. 3, March 2011, pp. 612-624.
IEEE DOI 1103
BibRef

Nielsen, A.A.,
An extension to a filter implementation of a local quadratic surface for image noise estimation,
CIAP99(119-124).
IEEE DOI 9909
BibRef

Lei, T., Fan, Y.Y.,
Noise gradient reduction based on morphological dual operators,
IET-IPR(5), No. 1, February 2011, pp. 1-17.
DOI Link 1103
BibRef

Hajiaboli, M.R.[Mohammad Reza],
An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal,
IJCV(92), No. 2, April 2011, pp. 177-191.
WWW Link. 1103
BibRef
Earlier:
An Anisotropic Fourth-Order Partial Differential Equation for Noise Removal,
SSVM09(356-367).
Springer DOI 0906
BibRef
And:
A Self-governing Hybrid Model for Noise Removal,
PSIVT09(295-305).
Springer DOI 0901
BibRef

Hajiaboli, M.R.[Mohammad Reza], Ahmad, M.O., Wang, C.,
An Edge-Adapting Laplacian Kernel For Nonlinear Diffusion Filters,
IP(21), No. 4, April 2012, pp. 1561-1572.
IEEE DOI 1204
BibRef

Guidotti, P.[Patrick], Longo, K.[Kate],
Two Enhanced Fourth Order Diffusion Models for Image Denoising,
JMIV(40), No. 2, June 2011, pp. 188-198.
WWW Link. 1103
BibRef

Min, T.H.[Tae-Hong], Park, R.H.[Rae-Hong], Chang, S.K.[Soon-Keun],
Noise reduction in high dynamic range images,
SIViP(5), No. 3, September 2011, pp. 315-328.
WWW Link. 1109
BibRef

Peters, J.[Jonas], Janzing, D.[Dominik], Scholkopf, B.[Bernhard],
Causal Inference on Discrete Data Using Additive Noise Models,
PAMI(33), No. 12, December 2011, pp. 2436-2450.
IEEE DOI 1110
Inferring the structure of a set of random variables from a finite sample. BibRef

Gomez-Rodriguez, M., Kober, J., Scholkopf, B.[Bernhard],
Denoising photographs using dark frames optimized by quadratic programming,
ICCP09(1-9).
IEEE DOI 1208
Long exposure photos. Start with set of dark images, subtract these. BibRef

Qiu, Z.[Zhen], Yang, L.[Lei], Lu, W.P.[Wei-Ping],
A new feature-preserving nonlinear anisotropic diffusion for denoising images containing blobs and ridges,
PRL(33), No. 3, 1 February 2012, pp. 319-330.
Elsevier DOI 1201
BibRef
Earlier:
A New Feature-preserving Nonlinear Anisotropic Diffusion Method for Image Denoising,
BMVC11(xx-yy).
HTML Version. 1110
Image denoising; Nonlocal difference; Second-order derivative; Blob and ridge detection; Nonlinear diffusion BibRef

Liu, F.[Feng], Liu, J.B.[Jing-Bo],
Anisotropic diffusion for image denoising based on diffusion tensors,
JVCIR(23), No. 3, April 2012, pp. 516-521.
Elsevier DOI 1203
Image denoising; Anisotropic diffusion; Nonlinear diffusion; Diffusion tensor; Diffusion filter; Diffusion direction; Diffusion amount; Multi-scale method BibRef

Wen, Y.W., Chan, R.H.,
Parameter Selection for Total-Variation-Based Image Restoration Using Discrepancy Principle,
IP(21), No. 4, April 2012, pp. 1770-1781.
IEEE DOI 1204
BibRef

Rajpoot, N.M.[Nasir M.], Butt, I.T.[Irfan T.],
A multiresolution framework for local similarity based image denoising,
PR(45), No. 8, August 2012, pp. 2938-2951.
Elsevier DOI 1204
BibRef
Earlier: A2, A1:
Multilateral filtering: A novel framework for generic similarity-based image denoising,
ICIP09(2981-2984).
IEEE DOI 0911
Image denoising; Bilateral filtering; Local image statistics BibRef

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

Leclaire, A.[Arthur], Lebrun, M.[Marc],
An implementation and detailed analysis of the K-SVD image denoising algorithm,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1205
Code, Denoising. See also K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation. 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

Chen, S.F.[Shi-Feng], Liu, M.[Ming], Zhang, W.[Wei], Liu, J.Z.[Jian-Zhuang],
Edge preserving image denoising with a closed form solution,
PR(46), No. 3, March 2013, pp. 976-988.
Elsevier DOI 1212
Image denoising; Markov random field; Label relaxation; Closed form solution BibRef

Liu, M.[Ming], Chen, S.F.[Shi-Feng], Liu, J.Z.[Jian-Zhuang],
Continuous MRF based image denoising with a closed form solution,
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Elsevier DOI 1302
Anisotropic diffusion; Image denoising; Stopping criterion; Image quality measures BibRef

Hsiao, P.C., Chang, L.W.,
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IP(22), No. 2, February 2013, pp. 724-738.
IEEE DOI 1302
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Buades, A.[Antoni], Morel, J.M.[Jean-Michel],
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SIIMS(6), No. 3, 2013, pp. 1665-1688.
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Zeng, W.L.[Wei-Li], Lu, X.B.[Xiao-Bo], Tan, X.H.[Xiang-Hua],
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IET-PR(7), No. 4, 2013, pp. 335-342.
DOI Link 1307
4th order PDE. BibRef

Colom, M.[Miguel], Buades, A.[Antoni],
Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1309
Code, Noise Estimation. See also Automatic Approach to Lossy Cmpression of AVIRIS Images, An. BibRef

Colom, M.[Miguel], Buades, A.[Antoni],
Analysis and Extension of the Percentile Method, Estimating a Noise Curve from a Single Image,
IPOL(2013), No. 2013, pp. 332-359.
DOI Link 1403
Code, Denoising. BibRef

Colom, M.[Miguel], Buades, A.[Antoni],
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IPOL(6), 2016, pp. 365-390.
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PRL(34), No. 16, 2013, pp. 2110-2117.
Elsevier DOI 1310
Image denoising BibRef

Sun, Z.G.[Zhong-Gui], Chen, S.C.[Song-Can], Qiao, L.S.[Li-Shan],
A general non-local denoising model using multi-kernel-induced measures,
PR(47), No. 4, 2014, pp. 1751-1763.
Elsevier DOI 1402
Image denoising BibRef

Tan, K.[Keren], Chen, S.C.[Song-Can], Zhang, D.Q.[Dao-Qiang],
Robust image denoising using kernel-induced measures,
ICPR04(IV: 685-688).
IEEE DOI 0409
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Lebrun, M., Colom, M., Baudes, A., Morel, J.M.,
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Lebrun, M.[Marc], Colom, M.[Miguel], Morel, J.M.[Jean-Michel],
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IP(24), No. 10, October 2015, pp. 3149-3161.
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Gaussian noise BibRef

Lebrun, M.[Marc], Colom, M.[Miguel], Morel, J.M.[Jean-Michel],
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IPOL(5), 2015, pp. 1-54.
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Earlier:
The noise clinic: A universal blind denoising algorithm,
ICIP14(2674-2678)
IEEE DOI 1502
Covariance matrices BibRef

Eksioglu, E.M., Bayir, O.,
K-SVD Meets Transform Learning: Transform K-SVD,
SPLetters(21), No. 3, March 2014, pp. 347-351.
IEEE DOI 1403
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Nath, V.K.[Vijay Kumar], Hazarika, D.[Deepika], Mahanta, A.[Anil],
Lapped transform-based image denoising with the generalised Gaussian prior,
IJCVR(4), No. 1-2, 2014, pp. 55-74.
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Rosales-Silva, A.[Alberto], Gallegos-Funes, F.[Francisco], Trujillo, I.[Ivonne], Garcia, A.[Alfredo],
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Lunden, J., Koivunen, V.,
Spatial Sign and Rank Cyclic Detectors,
SPLetters(21), No. 5, May 2014, pp. 595-599.
IEEE DOI 1404
Gaussian noise BibRef

Jiang, J., Zhang, L., Yang, J.,
Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal Regularization,
IP(23), No. 6, June 2014, pp. 2651-2662.
IEEE DOI 1406
Dictionaries BibRef

Aboutanios, E., Ye, S.,
Efficient Iterative Estimation of the Parameters of a Damped Complex Exponential in Noise,
SPLetters(21), No. 8, August 2014, pp. 975-979.
IEEE DOI 1406
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Ye, S., Sun, J., Aboutanios, E.,
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IEEE DOI 1704
Algorithm design and analysis BibRef

Ding, W., Lin, E., Ribeiro, A., Sarunic, M.V., Tibbits, G.F., Beg, M.F.,
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IEEE DOI 1408
Biomedical optical imaging BibRef

Lenzen, F.[Frank], Lellmann, J.[Jan], Becker, F.[Florian], Schnörr, C.[Christoph],
Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets,
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Lenzen, F.[Frank], Becker, F.[Florian], Lellmann, J.[Jan], Petra, S.[Stefania], Schnörr, C.[Christoph],
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SSVM11(206-217).
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Petra, S.[Stefania], Schnörr, C.[Christoph], Becker, F.[Florian], Lenzen, F.[Frank],
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Lellmann, J.[Jan], Lorenz, D.A.[Dirk A.], Schönlieb, C.[Carola], Valkonen, T.[Tuomo],
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Myllykoski, M., Glowinski, R., Kärkkäinen, T., Rossi, T.,
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Wang, J.[Jing], Wang, M.[Meng], Hu, X.G.[Xue-Gang], Yan, S.C.[Shui-Cheng],
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Image processing BibRef

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Yuan, J.J.[Jian-Jun], Liu, L.[Lipei],
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Varghese, J., Subash, S., Tairan, N.,
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VCIP15(1-4)
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Approximation algorithms BibRef

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ICIP15(3116-3120)
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VCIP14(462-465)
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image denoising BibRef

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VCIP14(17-20)
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image denoising BibRef

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Sivaramakrishnan, K., Weissman, T.,
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ICIP06(2609-2612).
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Gemelos, G., Sigurjonsson, S., Weissman, T.,
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ICIP01(I: 598-601).
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Quasi-circular rotation invariance in image denoising,
ICIP99(I:605-609).
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Chande, V.[Vinay], Farvardin, N.[Nariman], Jafarkhani, H.[Hamid],
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ICIP99(II:540-544).
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Seemann, T.[Torsten], and Tischer, P.E.[Peter E.],
MML based noise cleaning of images,
PCS97(39-43). minimum message length MML information theoretic local segmentation
WWW Link. BibRef 9700

Dufour, R.M., Miller, E.L.,
Image restoration with 1/f-type fractal models and statistical estimation of the model parameters,
ICIP98(II: 88-92).
IEEE DOI 9810
BibRef

Ferreira, P.J.S.G., and Vieira, J.M.N.,
Locating and Correcting Errors in Images,
ICIP97(I: 691-694).
IEEE DOI BibRef 9700

Tyler, D., and Matson, C.,
Reduction of Nonstationary Noise in Telescope Imagery Using a Support Constraint,
ICIP97(II: 338-341).
IEEE DOI BibRef 9700

Morris, R.D.[Robin D.], Fitzgerald, W.J., Kokaram, A.C.,
A Sampling Based Approach to Line Scratch Removal from Motion Picture Frames,
ICIP96(I: 801-804).
IEEE DOI BibRef 9600

Vehel, J.L.[Jacques Levy], and Guiheneuf, B.[Bertrand],
Multifractal Image Denoising,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Azadali, H., Smedby, O.,
Noise Suppression in MR Angiography Projection Images with the 3D Top-Hat Transform,
SSAB97(Medical) 9703
BibRef

Yung, H.C., Lay, H.S.,
New Feature Preserving Noise Removal Algorithm Based on the Discrete Cosine Transform and the a Priori Knowledge of Pixel Type,
ICIP96(I: 415-418).
IEEE DOI BibRef 9600

van Roosmalen, P.M.B.[Peter M.B.], Westen, S.J.P., Lagendijk, R.L., Biemond, J.,
Noise Reduction for Image Sequences Using an Oriented Pyramid Thresholding Technique,
ICIP96(I: 375-378).
IEEE DOI BibRef 9600

Chen, M.Y.[Mu-Yenc], Chao, J.J.[Jung-Jae],
Radar image denoising by recursive thresholding,
ICIP96(I: 395-398).
IEEE DOI BibRef 9600

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Noise Removal, Impulse Noise, Salt and Pepper .


Last update:Apr 26, 2017 at 10:20:07