5.3.8.1 Noise Removal, Impulse Noise, Salt and Pepper

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

Yasuoka, Y., Haralick, R.M.,
Peak Noise Removal by a Facet Model,
PR(16), No. 1, 1983, pp. 23-29.
WWW Version. BibRef 8300

Rushby, R.J.[Robert J.], Parmar, Y.S.[Yashvant S.],
Method and apparatus for removing erroneous elements from digital images,
US_Patent4,389,677, Jun 21, 1983
WWW Version. BibRef 8306

Nomura, Y., and Haruse, H.,
Reduction of Obscuration Noise Using Multiple Images,
PAMI(10), No. 2, March 1988, pp. 267-270.
IEEE via DOI Noise that replaces rather than modifies. Multiple images of a stationary scene. Test case: scene behind air bubbles in a water tank. BibRef 8803

Combettes, P.L., Trussell, H.J.,
Methods of Digital Restoration of Signals Degraded by a Stochastic Impulse Response,
ASSP(37), No. 3, March 1989, pp. 383-401. BibRef 8903

Patel, C.B.[Chandrakant B.], Weckenbrock, H.J.[Hermann J.], Wedam, W.F.[Werner F.], Altman, T.N.[Ted N.],
Estimation of noise using burst gate response to video signal,
US_Patent5,294,979, Mar 15, 1994
WWW Version. BibRef 9403

Kong, H., Guan, L.,
A Neural Network Adaptive Filter for the Removal of Impulse Noise in Digital Images,
NeurNet(9), No. 3, April 1996, pp. 373-378. 9605
BibRef

Guan, L., Kong, H.S.,
Adaptive Impulsive Noise Removal in TV Picture Transmission,
RealTimeImg(4), No. 2, April 1998, pp. 113-123. 9806
BibRef

Abreu, E., Lightstone, M., Mitra, S.K., Arakawa, K.,
A New Efficient Approach for the Removal of Impulse Noise from Highly Corrupted Images,
IP(5), No. 6, June 1996, pp. 1012-1025.
IEEE via DOI 9607
BibRef

Russo, F., Ramponi, G.,
A Fuzzy Filter for Images Corrupted by Impulse Noise,
SPLetters(3), No. 6, June 1996, pp. 168-170.
IEEE Top Reference. 9607
BibRef

Russo, F.,
Fuzzy Processing of Image Data Using Fire Filters,
JIFS(5), No. 4, 1997, pp. 361-366. 9809
BibRef
Earlier:
Removal of impulse noise using a FIRE filter,
ICIP96(II: 975-978).
IEEE via DOI 9610
BibRef
Earlier:
An image enhancement technique based on the FIRE operator,
ICIP95(I: 155-158).
IEEE via DOI 9510
BibRef

Russo, F.[Fabrizio],
Hybrid neuro-fuzzy filter for impulse noise removal,
PR(32), No. 11, November 1999, pp. 1843-1855.
WWW Version. BibRef 9911
Earlier:
Nonlinear Filtering of Noisy Images Using Neuro-Fuzzy Operators,
ICIP97(III: 412-415).
IEEE via DOI BibRef

Kundu, A., Mitra, S.K., Vaidyanathan, P.P.,
Application of Two-Dimensional Generalized Mean Filtering for Removal of Impulse Noises from Images,
ASSP(32), 1984, pp. 600-609. BibRef 8400

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Marshall, Jr., T.G.,
Image filtering with orthogonal projectors for burst error control,
CirSysVideo(1), No. 3, September 1991, pp. 269-278.
IEEE Top Reference. 0206
BibRef

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
BibRef

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
BibRef

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
BibRef

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

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
BibRef
Earlier:
Efficient Removing of Impulsive Noise Based on an L1-L2 Cost-Function,
ICIP03(I: 121-124).
IEEE via DOI 0312
BibRef

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
BibRef

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
BibRef

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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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

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
BibRef

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
BibRef

Ma, Z.H.[Zhong-Hua], Feng, D.D.[David Dagan], Wu, H.R.[Hong Ren],
A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images,
RealTimeImg(11), No. 5-6, October-December 2005, pp. 403-416.
WWW Version. 0510
BibRef

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
BibRef
Earlier:
A New Vector Median Filter Based on Fuzzy Metrics,
ICIAR05(81-90).
Springer via DOI 0509
BibRef

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
BibRef
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
BibRef

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
BibRef

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
BibRef

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
BibRef

Schulte, S., Morillas, S., Gregori, V., Kerre, E.E.,
A New Fuzzy Color Correlated Impulse Noise Reduction Method,
IP(16), No. 10, October 2007, pp. 2565-2575.
IEEE via DOI 0711
BibRef

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,
SCIA07(492-501).
Springer via DOI 0706
BibRef

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,
ICIAR07(12-23).
Springer via DOI 0708
BibRef

Schulte, S., de Witte, V., Nachtegael, M., van der Weken, D., Kerre, E.E.,
Fuzzy Two-Step Filter for Impulse Noise Reduction From Color Images,
IP(15), No. 11, November 2006, pp. 3567-3578.
IEEE via DOI 0610
BibRef
And:
A New Fuzzy Filter for the Reduction of Randomly Valued Impulse Noise,
ICIP06(1809-1812).
IEEE via DOI 0610
BibRef
Earlier:
A New Fuzzy Multi-channel Filter for the Reduction of Impulse Noise,
IbPRIA05(I:368).
Springer via DOI 0509
BibRef

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
BibRef
Earlier: A2, A1, A3:
The Possibilities of Fuzzy Logic in Image Processing,
PReMI07(198-208).
Springer via DOI 0712
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Melange, T.[Tom], Nachtegael, M.[Mike], Schulte, S.[Stefan], Kerre, E.E.[Etienne E.],
A fuzzy filter for the removal of random impulse noise in image sequences,
IVC(29), No. 6, May 2011, pp. 407-419.
Elsevier via DOI 1104
Video; Denoising; Impulse noise; Fuzzy sets BibRef

Nachtegael, M.[Mike], Schulte, S.[Stefan], de Witte, V.[Valerie], Mélange, T.[Tom], Kerre, E.E.[Etienne E.],
Image Similarity: From Fuzzy Sets to Color Image Applications,
Visual07(26-37).
Springer via DOI 0706
BibRef

Schulte, S.[Stefan], de Witte, V.[Valrie], Kerre, E.E.[Etienne E.],
A Fuzzy Noise Reduction Method for Color Images,
IP(16), No. 5, May 2007, pp. 1425-1436.
IEEE via DOI 0704
BibRef

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,
IbPRIA13(358-365).
Springer via DOI 1307
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Ze-Feng, D., Zhou-Ping, Y., You-Lun, X.,
High Probability Impulse Noise-Removing Algorithm Based on Mathematical Morphology,
SPLetters(14), No. 1, January 2007, pp. 31-34.
IEEE via DOI 0701
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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
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Civicioglu, P.,
Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS,
IP(16), No. 3, March 2007, pp. 759-773.
IEEE via DOI 0703
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Zhao, W., Pope, A.,
Image Restoration Under Significant Additive Noise,
SPLetters(14), No. 6, June 2007, pp. 401-404.
IEEE via DOI 0706
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Jin, L., Li, D.,
An Efficient Color-Impulse Detector and its Application to Color Images,
SPLetters(14), No. 6, June 2007, pp. 397-400.
IEEE via DOI 0706
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Djurovic, I.[Igor], Lukin, V.V.[Vladimir V.],
Robust DFT-based filtering of pulse-like FM signals corrupted by impulsive noise,
SIViP(1), No. 1, April 2007, pp. 39-51.
Springer via DOI 0706
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Lin, T.C.[Tzu-Chao],
Partition belief median filter based on Dempster-Shafer theory for image processing,
PR(41), No. 1, January 2008, pp. 139-151.
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
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Petrovic, N.I.[Nemanja I.], Crnojevic, V.S.[Vladimir S.],
Universal Impulse Noise Filter Based on Genetic Programming,
IP(17), No. 7, July 2008, pp. 1109-1120.
IEEE via DOI 0806
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Earlier:
Evolutionary Tree-Structured Filter for Impulse Noise Removal,
ACIVS06(103-113).
Springer via DOI 0609
BibRef
Earlier: A2, Only:
Impulse Noise Filter with Adaptive Mad-Based Threshold,
ICIP05(III: 337-340).
IEEE via DOI 0512
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Obradovic, R.[Radovan], Janev, M.[Marko], Antic, B.[Borislav], Crnojevica, V.S.[Vladimir S.], Petrovic, N.I.[Nemanja I.],
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ICIP11(2569-2572).
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Yu, H., Zhao, L., Wang, H.,
An Efficient Procedure for Removing Random-Valued Impulse Noise in Images,
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IEEE via DOI 0901
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Chen, S.S.[Shou-Shui], Yang, X.[Xin], Cao, G.,
Impulse noise suppression with an augmentation of ordered difference noise detector and an adaptive variational method,
PRL(30), No. 4, 1 March 2009, pp. 460-467.
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A Variational Method with a Noise Detector for Impulse Noise Removal,
SSVM07(442-450).
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
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Wang, S.S.[Shuenn-Shyang], Wu, C.H.[Cheng-Hao],
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Image processing; Impulse noise; Image filtering BibRef

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Fuzzy Peer Groups for Reducing Mixed Gaussian-Impulse Noise From Color Images,
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IEEE via DOI 0906
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Xu, Z., Wu, H.R., Qiu, B., Yu, X.,
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IEEE via DOI 0907
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Ghanekar, U., Singh, A.K., Pandey, R.,
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IEEE via DOI 0911
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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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Neural network; Image filtering; Impulse detector; Impulse noise BibRef

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Restoration of images corrupted by Gaussian and uniform impulsive noise,
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Image restoration; Gaussian noise; Uniform impulsive noise; Kernel regression; Probabilistic mixture models BibRef

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Kannan, K., Kanna, B.R.[B. Rajesh], Aravindan, C.,
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Hypergraph; Image Neighborhood Hypergraph (INHG); Root Mean Square approximation; Impulse noise; Gaussian noise BibRef

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Improved Radiometric Based Method for Suppressing Impulse Noise from Corrupted Images,
IEICE(E93-D), No. 7, July 2010, pp. 1936-1943.
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Bhotto, M.Z.A., Antoniou, A.,
Robust Recursive Least-Squares Adaptive-Filtering Algorithm for Impulsive-Noise Environments,
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Esakkirajan, S., Veerakumar, T., Subramanyam, A.N., Prem-Chand, C.H.,
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IEEE via DOI 1103
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Xiao, Y.[Yu], Zeng, T.Y.[Tie-Yong], Yu, J.[Jian], Ng, M.K.[Michael K.],
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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,
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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
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Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha],
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IEEE via DOI 1112
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Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha],
Efficient Algorithms for Robust Recovery of Images From Compressed Data,
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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,
CVPR12(550-557).
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Jiang, X.,
Iterative Truncated Arithmetic Mean Filter and Its Properties,
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IEEE via DOI 1204
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Xiong, B., Yin, Z.,
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IP(21), No. 4, April 2012, pp. 1663-1675.
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Lu, C.T.[Ching-Ta], Chou, T.C.[Tzu-Chun],
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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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Sparse representation; Dictionary learning; Augmented Lagrangian; Bregman iterative method; Accelerated technique; Iteratively Reweighted Norm; Gaussian noise removal; Impulse noise removal BibRef

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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.
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Nair, M.S.[Madhu S.], Raju, G.,
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IEEE via DOI 1112
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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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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Poisson Noise Removal .


Last update:Nov 25, 2014 at 15:27:46