Noise Removal, Impulse Noise, Salt and Pepper

Chapter Contents (Back)
Noise Removal. Impulse Noise. Denoising. See also Median Filtering.

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Kong, H., Guan, L.,
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IEEE via DOI 9607

Russo, F., Ramponi, G.,
A Fuzzy Filter for Images Corrupted by Impulse Noise,
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IEEE Top Reference. 9607

Russo, F.,
Fuzzy Processing of Image Data Using Fire Filters,
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Removal of impulse noise using a FIRE filter,
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IEEE via DOI 9610
An image enhancement technique based on the FIRE operator,
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IEEE via DOI 9510

Russo, F.[Fabrizio],
Hybrid neuro-fuzzy filter for impulse noise removal,
PR(32), No. 11, November 1999, pp. 1843-1855.
WWW Version. BibRef 9911
Nonlinear Filtering of Noisy Images Using Neuro-Fuzzy Operators,
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IEEE via DOI BibRef

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Application of Two-Dimensional Generalized Mean Filtering for Removal of Impulse Noises from Images,
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Wang, Z.[Zhou], Zhang, D.,
Restoration of Impulse Noise-Corrupted Images Using Long-Range Correlation,
SPLetters(5), No. 1, January 1998, pp. 4-7.
IEEE Top Reference. 9802

Kong, H.S., Guan, L.,
Self-Organizing Tree Map for Eliminating Impulse Noise with Random Intensity Distributions,
JEI(7), No. 1, January 1998, pp. 36-44. 9807

Xu, Y., Lai, E.M.K.,
Restoration of Images Contaminated by Mixed Gaussian and Impulse Noise Using a Recursive Minimum-Maximum Method,
VISP(145), No. 4, August 1998, pp. 264-270. 9810

Overall, G.S.[Gary Scott], Wright, P.B.[Phillip Byron],
Image improvement after facsimile reception,
US_Patent5,940,190, Aug 17, 1999
WWW Version. BibRef 9908

Windyga, P.S.,
Fast Impulsive Noise Removal,
IP(10), No. 1, January 2001, pp. 173-179.
IEEE via DOI 0101

Marshall, Jr., T.G.,
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IEEE Top Reference. 0206

Struyf, A.[Anja], Rousseeuw, P.J.[Peter J.],
High-dimensional computation of the deepest location,
CSDA(34), No. 4, 28 October 2000, pp. 415-426.
Elsevier via DOI 1307

Pok, G.[Gouchol], Liu, J.C.[Jyh-Charn], Nair, A.S.,
Selective removal of impulse noise based on homogeneity level information,
IP(12), No. 1, January 2003, pp. 85-92.
IEEE via DOI 0301

Koivisto, P.[Pertti], Astola, J.T.[Jaakko T.], Lukin, V.V.[Vladimir V.], Melnik, V.P.[Vladimir P.], Tsymbal, O.[Oleg],
Removing Impulse Bursts from Images by Training-Based Filtering,
JASP(2003), No. 3, March 2003, pp. 223.
WWW Version. 0304

Jiang, X.D.,
Image detail-preserving filter for impulsive noise attenuation,
VISP(150), No. 3, June 2003, pp. 179-185.
IEEE Abstract. 0308

Nikolova, M.[Mila],
A Variational Approach to Remove Outliers and Impulse Noise,
JMIV(20), No. 1-2, January-March 2004, pp. 99-120.
DOI Link 0403
Efficient Removing of Impulsive Noise Based on an L1-L2 Cost-Function,
ICIP03(I: 121-124).
IEEE via DOI 0312

Chan, R.H., Hu, C.[Chen], Nikolova, M.,
An iterative procedure for removing random-valued impulse noise,
SPLetters(11), No. 12, December 2004, pp. 921-924.
IEEE Abstract. 0412

Chan, R.H., Ho, C.W.[Chung-Wa], Nikolova, M.,
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization,
IP(14), No. 10, October 2005, pp. 1479-1485.
IEEE via DOI 0510

Aizenberg, I., Butakoff, C.,
Effective impulse detector based on rank-order criteria,
SPLetters(11), No. 3, March 2004, pp. 363-366.
IEEE Abstract. 0404

Aizenberg, I., Astola, J.T., Butakoff, C., Egiazarian, K.O., Paliy, D.,
Effective detection and elimination of impulsive noise with a minimal image smoothing,
ICIP03(III: 357-360).
IEEE via DOI 0312

Aizenberg, I., Butakoff, C., Paliy, D.,
Impulsive noise removal using threshold Boolean filtering based on the impulse detecting functions,
SPLetters(12), No. 1, January 2005, pp. 63-66.
IEEE Abstract. 0501

Aizenberg, I.[Igor], Butakoff, C.[Constantine],
A windowed Gaussian notch filter for quasi-periodic noise removal,
IVC(26), No. 10, 1 October 2008, pp. 1347-1353.
WWW Version. 0804
Nonlinear filtering; Spectrum filtering; Fourier transform; Periodic noise BibRef

Crnojevic, V.S., Senk, V., Trpovski, Z.,
Advanced Impulse Detection Based on Pixel-Wise MAD,
SPLetters(11), No. 7, July 2004, pp. 589-592.
IEEE Abstract. 0407
MAD: median of the absolute deviations from the median. BibRef

Xu, H.X.[Hai-Xiang], Zhu, G.X.[Guang-Xi], Peng, H.[Haoyu], Wang, D.S.[De-Sheng],
Adaptive fuzzy switching filter for images corrupted by impulse noise,
PRL(25), No. 15, November 2004, pp. 1657-1663.
WWW Version. 0411

Alajlan, N.[Naif], Kamel, M.S.[Mohamed S.], Jernigan, E.[Ed],
Detail preserving impulsive noise removal,
SP:IC(19), No. 10, December 2004, pp. 993-1003.
WWW Version. 0501

Lukac, R.[Rastislav], Fischer, V.[Viktor], Motyl, G.[Guy], Drutarovsky, M.[Milos],
Adaptive video filtering framework,
IJIST(14), No. 6, 2004, pp. 223-237.
DOI Link 0412

Chuah, T.C.,
Turbo equalisation in non-Gaussian impulsive noise,
VISP(152), No. 1, February 2005, pp. 52-60.
IEEE Abstract. 0501

Liu, Z.J.[Zheng-Jun], Wang, C.Y.[Chang-Yao], Liu, A.X.[Ai-Xia], Xiao, X.M.[Xiang-Ming],
Statistical Ratio Rank Ordered Differences Filter for SeaWiFS Impulse Noise Removal,
PhEngRS(71), No. 1, January 2005, pp. 89-96. The SRROD Filter for SeaWiFS Impulse Noise Removal is described.
WWW Version. 0509

Garnett, R., Huegerich, T., Chui, C., He, W.,
A Universal Noise Removal Algorithm With an Impulse Detector,
IP(14), No. 11, November 2005, pp. 1747-1754.
IEEE via DOI 0510

Ma, Z.H.[Zhong-Hua], Feng, D.D.[David Dagan], Wu, H.R.[Hong Ren],
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WWW Version. 0510

Ma, Z.H.[Zhong-Hua], Wu, H.R.[Hong Ren], Feng, D.D.[David Dagan],
Fuzzy vector partition filtering technique for color image restoration,
CVIU(107), No. 1-2, July-August 2007, pp. 26-37.
WWW Version. 0706
Color image restoration; Adaptive vector filter; Vector partition filtering; Fuzzy ranking technique BibRef

Morillas, S.[Samuel], Gregori, V.[Valentín], Peris-Fajarnés, G.[Guillermo], Latorre, P.[Pedro],
A fast impulsive noise color image filter using fuzzy metrics,
RealTimeImg(11), No. 5-6, October-December 2005, pp. 417-428.
WWW Version. 0510
A New Vector Median Filter Based on Fuzzy Metrics,
Springer via DOI 0509

Morillas, S.[Samuel], Gregori, V.[Valentin], Peris-Fajarnes, G.[Guillermo],
Isolating impulsive noise pixels in color images by peer group techniques,
CVIU(110), No. 1, April 2008, pp. 102-116.
WWW Version. 0804
Color image filter; Fuzzy metric; Peer group; Switching filtering; Vector median filter BibRef

Camarena, J.G.[Joan-Gerard], Gregori, V.[Valentin], Morillas, S.[Samuel], Sapena, A.[Almanzor],
Fast detection and removal of impulsive noise using peer groups and fuzzy metrics,
JVCIR(19), No. 1, January 2008, pp. 20-29.
WWW Version. 0711
Earlier: A3, A2, A4, Only:
Fuzzy Bilateral Filtering for Color Images,
ICIAR06(I: 138-145).
Springer via DOI 0610
Color image filter; Fuzzy metric; Non-linear vector filter; Peer group; Vector median filter BibRef

Camarena, J.G.[Joan-Gerard], Gregori, V.[Valentin], Morillas, S.[Samuel], Sapena, A.[Almanzor],
Some improvements for image filtering using peer group techniques,
IVC(28), No. 1, Januray 2010, pp. 188-201.
Elsevier via DOI 1001
Adaptive filter; Color image denoising; Peer group filter; Switching filter; Vector filter BibRef

Camarena, J.G.[Joan-Gerard], Gregori, V.[Valentín], Morillas, S.[Samuel], Peris-Fajarnés, G.[Guillermo],
New Method for Fast Detection and Removal of Impulsive Noise Using Fuzzy Metrics,
ICIAR06(I: 359-369).
Springer via DOI 0610

Yuksel, M.E.,
A hybrid neuro-fuzzy filter for edge preserving restoration of images corrupted by impulse noise,
IP(15), No. 4, April 2006, pp. 928-936.
IEEE via DOI 0604

Schulte, S.[Stefan], Nachtegael, M.[Mike], de Witte, V.[Valérie], van der Weken, D.[Dietrich], Kerre, E.E.[Etienne E.],
A Fuzzy Impulse Noise Detection and Reduction Method,
IP(15), No. 5, May 2006, pp. 1153-1162.
IEEE via DOI 0605

Schulte, S.[Stefan], de Witte, V.[Valerie], Nachtegael, M.[Mike], van der Weken, D.[Dietrich], Kerre, E.E.[Etienne E.],
Histogram-based fuzzy colour filter for image restoration,
IVC(25), No. 9, 1 September 2007, pp. 1377-1390.
WWW Version. 0707
Fuzzy filter; Histogram; Colour filter; Impulse noise; Image restoration BibRef

Nachtegael, M., van der Weken, D., de Witte, V., Schulte, S., Melange, T., Kerre, E.E.,
Color Image Retrieval using Fuzzy Similarity Measures and Fuzzy Partitions,
ICIP07(VI: 13-16).
IEEE via DOI 0709

Schulte, S., Morillas, S., Gregori, V., Kerre, E.E.,
A New Fuzzy Color Correlated Impulse Noise Reduction Method,
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IEEE via DOI 0711

Camarena, J.G.[Joan-Gerard], Gregori, V.[Valentin], Morillas, S.[Samuel], Sapena, A.[Almanzor],
Two-step fuzzy logic-based method for impulse noise detection in colour images,
PRL(31), No. 13, 1 October 2010, pp. 1842-1849.
Elsevier via DOI 1003
Colour image filter; Fuzzy logic; Fuzzy metric; Impulse noise BibRef

Morillas, S.[Samuel], Schulte, S.[Stefan], Kerre, E.E.[Etienne E.], Peris-Fajarnés, G.[Guillermo],
A New Fuzzy Impulse Noise Detection Method for Colour Images,
Springer via DOI 0706

Schulte, S.[Stefan], de Witte, V.[Valérie], Nachtegael, M.[Mike], Mélange, T.[Tom], Kerre, E.E.[Etienne E.],
A New Fuzzy Additive Noise Reduction Method,
Springer via DOI 0708

Schulte, S., de Witte, V., Nachtegael, M., van der Weken, D., Kerre, E.E.,
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IP(15), No. 11, November 2006, pp. 3567-3578.
IEEE via DOI 0610
A New Fuzzy Filter for the Reduction of Randomly Valued Impulse Noise,
IEEE via DOI 0610
A New Fuzzy Multi-channel Filter for the Reduction of Impulse Noise,
Springer via DOI 0509

Mélange, T.[Tom], Nachtegael, M.[Mike], Kerre, E.E.[Etienne E.],
Fuzzy Random Impulse Noise Removal From Color Image Sequences,
IP(20), No. 4, April 2011, pp. 959-970.
IEEE via DOI 1103
Earlier: A2, A1, A3:
The Possibilities of Fuzzy Logic in Image Processing,
Springer via DOI 0712

Melange, T.[Tom], Nachtegael, M.[Mike], Schulte, S.[Stefan], Kerre, E.E.[Etienne E.],
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Video; Denoising; Impulse noise; Fuzzy sets BibRef

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Image Similarity: From Fuzzy Sets to Color Image Applications,
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Schulte, S.[Stefan], de Witte, V.[Valrie], Kerre, E.E.[Etienne E.],
A Fuzzy Noise Reduction Method for Color Images,
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IEEE via DOI 0704

González-Jaime, L.[Luis], Nachtegeal, M.[Mike], Kerre, E.E.[Etienne E.], Vegas-Sánchez-Ferrero, G.[Gonzalo],
Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering,
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Ze-Feng, D., Zhou-Ping, Y., You-Lun, X.,
High Probability Impulse Noise-Removing Algorithm Based on Mathematical Morphology,
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IEEE via DOI 0701

Srinivasan, K.S., Ebenezer, D.,
A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises,
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IEEE via DOI 0703

Civicioglu, P.,
Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS,
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IEEE via DOI 0703

Zhao, W., Pope, A.,
Image Restoration Under Significant Additive Noise,
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IEEE via DOI 0706

Jin, L., Li, D.,
An Efficient Color-Impulse Detector and its Application to Color Images,
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IEEE via DOI 0706

Djurovic, I.[Igor], Lukin, V.V.[Vladimir V.],
Robust DFT-based filtering of pulse-like FM signals corrupted by impulsive noise,
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Lin, T.C.[Tzu-Chao],
Partition belief median filter based on Dempster-Shafer theory for image processing,
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WWW Version. 0710
Impulsive noise; Evidence theory; Recursive filtering; Least mean square BibRef

Cai, J.F.[Jian-Feng], Chan, R.H.[Raymond H.], di Fiore, C.[Carmine],
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal,
JMIV(29), No. 1, Septmeber 2007, pp. 79-91.
Springer via DOI 0709

Petrovic, N.I.[Nemanja I.], Crnojevic, V.S.[Vladimir S.],
Universal Impulse Noise Filter Based on Genetic Programming,
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IEEE via DOI 0806
Evolutionary Tree-Structured Filter for Impulse Noise Removal,
Springer via DOI 0609
Earlier: A2, Only:
Impulse Noise Filter with Adaptive Mad-Based Threshold,
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IEEE via DOI 0512

Obradovic, R.[Radovan], Janev, M.[Marko], Antic, B.[Borislav], Crnojevica, V.S.[Vladimir S.], Petrovic, N.I.[Nemanja I.],
Robust sparse image denoising,
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Yu, H., Zhao, L., Wang, H.,
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IEEE via DOI 0901

Chen, S.S.[Shou-Shui], Yang, X.[Xin], Cao, G.,
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PRL(30), No. 4, 1 March 2009, pp. 460-467.
Elsevier via DOI 0903
Earlier: A1, A2, Only:
A Variational Method with a Noise Detector for Impulse Noise Removal,
Springer via DOI 0705
Image denoising; Impulse noise reduction; Noise detection; Adaptive variational method BibRef

Zhang, X., Xiong, Y.,
Impulse Noise Removal Using Directional Difference Based Noise Detector and Adaptive Weighted Mean Filter,
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IEEE via DOI 0903

Wang, S.S.[Shuenn-Shyang], Wu, C.H.[Cheng-Hao],
A new impulse detection and filtering method for removal of wide range impulse noises,
PR(42), No. 9, September 2009, pp. 2194-2202.
Elsevier via DOI 0905
Image processing; Impulse noise; Image filtering BibRef

Morillas, S., Gregori, V., Hervas, A.,
Fuzzy Peer Groups for Reducing Mixed Gaussian-Impulse Noise From Color Images,
IP(18), No. 7, July 2009, pp. 1452-1466.
IEEE via DOI 0906

Xu, Z., Wu, H.R., Qiu, B., Yu, X.,
Geometric Features-Based Filtering for Suppression of Impulse Noise in Color Images,
IP(18), No. 8, August 2009, pp. 1742-1759.
IEEE via DOI 0907

Ghanekar, U., Singh, A.K., Pandey, R.,
A Contrast Enhancement-Based Filter for Removal of Random Valued Impulse Noise,
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IEEE via DOI 0911

Kaliraj, G., Baskar, S.,
An efficient approach for the removal of impulse noise from the corrupted image using neural network based impulse detector,
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Elsevier via DOI 1001
Neural network; Image filtering; Impulse detector; Impulse noise BibRef

Lopez-Rubio, E.[Ezequiel],
Restoration of images corrupted by Gaussian and uniform impulsive noise,
PR(43), No. 5, May 2010, pp. 1835-1846.
Elsevier via DOI 1003
Image restoration; Gaussian noise; Uniform impulsive noise; Kernel regression; Probabilistic mixture models BibRef

Zibulevsky, M.[Michael], Elad, M.[Michael],
L1-L2 Optimization in Signal and Image Processing,
SPMag(27), No. 3, 2010, pp. 76-88.
IEEE via DOI 1006

Kannan, K., Kanna, B.R.[B. Rajesh], Aravindan, C.,
Root Mean Square filter for noisy images based on hyper graph model,
IVC(28), No. 9, September 2010, pp. 1329-1338.
Elsevier via DOI 1007
Hypergraph; Image Neighborhood Hypergraph (INHG); Root Mean Square approximation; Impulse noise; Gaussian noise BibRef

Wu, C.C.[Chang-Cheng], Zhao, C.Y.[Chun-Yu], Chen, D.Y.[Da-Yue],
Improved Radiometric Based Method for Suppressing Impulse Noise from Corrupted Images,
IEICE(E93-D), No. 7, July 2010, pp. 1936-1943.
WWW Version. 1008

Bhotto, M.Z.A., Antoniou, A.,
Robust Recursive Least-Squares Adaptive-Filtering Algorithm for Impulsive-Noise Environments,
SPLetters(18), No. 3, March 2011, pp. 185-188.
IEEE via DOI 1102

Esakkirajan, S., Veerakumar, T., Subramanyam, A.N., Prem-Chand, C.H.,
Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter,
SPLetters(18), No. 5, May 2011, pp. 287-290.
IEEE via DOI 1103

Xiao, Y.[Yu], Zeng, T.Y.[Tie-Yong], Yu, J.[Jian], Ng, M.K.[Michael K.],
Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization,
PR(44), No. 8, August 2011, pp. 1708-1720.
Elsevier via DOI 1104
Image restoration; Gaussian noise; Impulse noise; Dictionary learning BibRef

Awad, A.S.,
Standard Deviation for Obtaining the Optimal Direction in the Removal of Impulse Noise,
SPLetters(18), No. 7, July 2011, pp. 407-410.
IEEE via DOI 1101

Wu, J.[Jian], Tang, C.[Chen],
PDE-Based Random-Valued Impulse Noise Removal Based on New Class of Controlling Functions,
IP(20), No. 9, September 2011, pp. 2428-2438.
IEEE via DOI 1109

Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha],
Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise,
IP(21), No. 1, January 2012, pp. 397-405.
IEEE via DOI 1112

Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha],
Efficient Algorithms for Robust Recovery of Images From Compressed Data,
IP(22), No. 12, 2013, pp. 4724-4737.
IEEE via DOI 1312
data compression BibRef

Pham, D.S.[Duc-Son], Budhaditya, S.[Saha], Phung, D.[Dinh], Venkatesh, S.[Svetha],
Improved subspace clustering via exploitation of spatial constraints,
IEEE via DOI 1208

Jiang, X.,
Iterative Truncated Arithmetic Mean Filter and Its Properties,
IP(21), No. 4, April 2012, pp. 1537-1547.
IEEE via DOI 1204

Xiong, B., Yin, Z.,
A Universal Denoising Framework With a New Impulse Detector and Nonlocal Means,
IP(21), No. 4, April 2012, pp. 1663-1675.
IEEE via DOI 1204

Lu, C.T.[Ching-Ta], Chou, T.C.[Tzu-Chun],
Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter,
PRL(33), No. 10, 15 July 2012, pp. 1287-1295.
Elsevier via DOI 1205
Image denoising; Salt-and-pepper noise; Median filter; Motion direction; Iterative filtering BibRef

Liu, Q.G.[Qie-Gen], Wang, S.S.[Shan-Shan], Luo, J.H.[Jian-Hua], Zhu, Y.M.[Yue-Min], Ye, M.[Meng],
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JVCIR(23), No. 5, July 2012, pp. 753-766.
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Sparse representation; Dictionary learning; Augmented Lagrangian; Bregman iterative method; Accelerated technique; Iteratively Reweighted Norm; Gaussian noise removal; Impulse noise removal BibRef

Wang, S.S.[Shan-Shan], Xia, Y.[Yong], Liu, Q.G.[Qie-Gen], Luo, J.H.[Jian-Hua], Zhu, Y.M.[Yue-Min], Feng, D.D.[David Dagan],
Gabor feature based nonlocal means filter for textured image denoising,
JVCIR(23), No. 7, October 2012, pp. 1008-1018.
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Nonlocal means filter; Gabor filter; Image denoising; Textured image analysis; Feature extraction; Similarity detection; Signal restoration; Gaussian noise BibRef

Zhou, Z.,
Cognition and Removal of Impulse Noise With Uncertainty,
IP(21), No. 7, July 2012, pp. 3157-3167.
IEEE via DOI 1206

Nair, M.S.[Madhu S.], Raju, G.,
A new fuzzy-based decision algorithm for high-density impulse noise removal,
SIViP(6), No. 4, November 2012, pp. 579-595.
WWW Version. 1210

Muthukumar, S., Raju, G.,
A non-linear image denoising method for salt-and-pepper noise removal using Fuzzy-Based approach,
IEEE via DOI 1112

Zhou, Y.Y., Ye, Z.F., Huang, J.J.,
Improved decision-based detail-preserving variational method for removal of random-valued impulse noise,
IET-IPR(6), No. 7, 2012, pp. 976-985.
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Han, Y.[Yu], Feng, X.C.[Xiang-Chu], Baciu, G.[George], Wang, W.W.[Wei-Wei],
Nonconvex sparse regularizer based speckle noise removal,
PR(46), No. 3, March 2013, pp. 989-1001.
Elsevier via DOI 1212
Speckle noise; Nonconvex; Sparse; Alternative iteration; Augmented Lagrange multiplier; Iteratively reweighted method BibRef

Sree, P.S.J.[P. Syamala Jaya], Kumar, P.[Pradeep], Siddavatam, R.[Rajesh], Verma, R.[Ravikant],
Salt-and-pepper noise removal by adaptive median-based lifting filter using second-generation wavelets,
SIViP(7), No. 1, January 2013, pp. 111-118.
WWW Version. 1301

Patel, P.[Punyaban], Jena, B.[Bibekananda], Majhi, B.[Banshidhar], Tripathy, C.R.,
Fuzzy Based Adaptive Mean Filtering Technique for Removal of Impulse Noise from Images,
IJCVSP(1), No. 1, 2012, pp. xx-yy.
WWW Version. 1302

Jafar, I.F., Al Na'mneh, R.A., Darabkh, K.A.,
Efficient Improvements on the BDND Filtering Algorithm for the Removal of High-Density Impulse Noise,
IP(22), No. 3, March 2013, pp. 1223-1232.
IEEE via DOI 1301

Zhou, Y.Y.[Ying-Yue], Ye, Z.F.[Zhong-Fu], Xiao, Y.[Yao],
A restoration algorithm for images contaminated by mixed Gaussian plus random-valued impulse noise,
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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Poisson Noise Removal .

Last update:Apr 16, 2015 at 12:03:48