5.3.8.1 Noise Removal, Impulse Noise

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

Nomura, Y., and Haruse, H.,
Reduction of Obscuration Noise Using Multiple Images,
PAMI(10), No. 2, March 1988, pp. 267-270.
IEEE Abstract. IEEE Top Reference.
WWW Version. 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

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 DOI Reference 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 DOI Reference 9610 BibRef
Earlier:
An image enhancement technique based on the FIRE operator,
ICIP95(I: 155-158).
IEEE DOI Reference 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 DOI Reference 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

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

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 DOI Reference 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.
HTML 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. IEEE Top Reference. 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.
WWW Version. 0403 BibRef
Earlier:
Efficient Removing of Impulsive Noise Based on an L1-L2 Cost-Function,
ICIP03(I: 121-124).
IEEE Abstract. IEEE Top Reference. 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. IEEE Top Reference. 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 DOI Reference 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. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 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. IEEE Top Reference. 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. 0804Nonlinear 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. IEEE Top Reference. 0407MAD: median of the absolute deviations from the median. BibRef

Xu, H.[Haixiang], 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.
WWW Version. 0412 BibRef

Chuah, T.C.,
Turbo equalisation in non-Gaussian impulsive noise,
VISP(152), No. 1, February 2005, pp. 52-60.
IEEE Abstract. IEEE Top Reference. 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 DOI Reference 0510 BibRef

Ma, Z.H.[Zhong-Hua], Feng, D.[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.[Dagan],
Fuzzy vector partition filtering technique for color image restoration,
CVIU(107), No. 1-2, July-August 2007, pp. 26-37.
WWW Version. 0706Color 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 DOI Reference 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. 0804Color 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 DOI Reference 0610Color image filter; Fuzzy metric; Non-linear vector filter; Peer group; Vector median 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 DOI Reference 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 DOI Reference 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 DOI Reference 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. 0707Fuzzy 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 DOI Reference 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 DOI Reference 0711 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 DOI Reference 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 DOI Reference 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 DOI Reference 0610 BibRef
And:
A New Fuzzy Filter for the Reduction of Randomly Valued Impulse Noise,
ICIP06(1809-1812). 0610
IEEE DOI Reference BibRef
Earlier:
A New Fuzzy Multi-channel Filter for the Reduction of Impulse Noise,
IbPRIA05(I:368).
Springer DOI Reference 0509 BibRef

Nachtegael, M., Mélange, T., Kerre, E.E.,
The Possibilities of Fuzzy Logic in Image Processing,
PReMI07(198-208).
Springer DOI Reference 0712 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 DOI Reference 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 DOI Reference 0704 BibRef

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 DOI Reference 0701 BibRef

Srinivasan, K.S., Ebenezer, D.,
A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises,
SPLetters(14), No. 3, March 2007, pp. 189-192.
IEEE DOI Reference 0703 BibRef

Civicioglu, P.,
Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS,
IP(16), No. 3, March 2007, pp. 759-773.
IEEE DOI Reference 0703 BibRef

Zhao, W., Pope, A.,
Image Restoration Under Significant Additive Noise,
SPLetters(14), No. 6, June 2007, pp. 401-404.
IEEE DOI Reference 0706 BibRef

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 DOI Reference 0706 BibRef

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 DOI Reference 0706 BibRef

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. 0710Impulsive 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 DOI Reference 0709 BibRef

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 DOI Reference 0806 BibRef
Earlier:
Evolutionary Tree-Structured Filter for Impulse Noise Removal,
ACIVS06(103-113).
Springer DOI Reference 0609 BibRef
Earlier: A2, Only:
Impulse Noise Filter with Adaptive Mad-Based Threshold,
ICIP05(III: 337-340).
IEEE DOI Reference 0512 BibRef

Yildirim, M.T.[M. Tülin], Yüksel, M.E.[M. Emin],
A Type-2 Fuzzy Logic Filter for Detail-Preserving Restoration of Digital Images Corrupted by Impulse Noise,
ACIVS07(485-496).
Springer DOI Reference 0708 BibRef

Luo, W.B.[Wen-Bin], Dang, D.[Dung],
An Efficient Method for the Removal of Impulse Noise,
ICIP06(2601-2604). 0610
IEEE DOI Reference BibRef

Roy, S., Sengupta, S.,
An Improved Video Encoderwith In-the-Loop De-Noising Filter for Impulse Noise Reduction,
ICIP06(2605-2608). 0610
IEEE DOI Reference BibRef

Wang, Y.[Yunhua], DeBrunner, L.S., Havlicek, J.P., Zhou, D.Y.[Da-Yong],
Signal Exclusive Adaptive Average Filter for Impulse Noise Suppression,
Southwest06(51-55).
IEEE DOI Reference 0603 BibRef

Phu, M.Q.[Mieng Quoc], Tischer, P.E.[Peter Eric], Wu, H.R.[Hon Ren],
Adaptive Region Growing Impulse Noise Estimator for Color Images,
ICPR06(III: 786-789).
WWW Version. 0609 BibRef

Li, G.[Gang], Song, B.[Binheng],
Image Salt-Pepper Noise Elimination by Detecting Edges and Isolated Noise Points,
ICIAR04(I: 171-178).
WWW Version. 0409 BibRef

Alajlan, N.[Naif], Jernigan, E.[Ed],
An Effective Detail Preserving Filter for Impulse Noise Removal,
ICIAR04(I: 139-146).
WWW Version. 0409 BibRef

Abdel-Dayem, A.R.[Amr R.], Hamou, A.K.[Ali K.], El-Sakka, M.R.[Mahmoud R.],
Novel Adaptive Filtering for Salt-and-Pepper Noise Removal from Binary Document Images,
ICIAR04(II: 191-199).
WWW Version. 0409 BibRef

Lu, X., Kirlin, R.L., Wang, J.,
Temporal Impulsive Noise Excision in the Range-Doppler Map of HF Radar,
ICIP03(II: 835-838).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Abu-Naser, A., Calatsanos, N.P., Wernick, M.N.,
Ml and bayesian impulse restoration based object recognition in photon limited noise,
ICIP02(II: 837-840).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Rital, S.[Soufiane], Bretto, A.[Alain], Aboutajdine, D.[Driss], Cherifi, H.[Hocine],
Application of Adaptive Hypergraph Model to Impulsive Noise Detection,
CAIP01(555 ff.).
HTML Version. 0210 BibRef

Zhang, D., Shi, Z., Wang, H., Kouri, D.,
Nonlinear Filtering Impulse Noise Removal from Corrupted Images,
ICIP00(Vol III: 285-287).
IEEE Abstract. IEEE Top Reference. 0008 BibRef

Cheikh, F.A.[Faouzi Alaya], Hamila, R.[Ridha], Gabbouj, M.[Moncef], Astola, J.T.[Jaakko T.],
Impulse noise removal in highly corrupted color images,
ICIP96(I: 997-1000).
IEEE DOI Reference BibRef 9600

Haindl, M.[Michal], Šimberová, S.[Stanislava],
Restoration of Multitemporal Short-Exposure Astronomical Images,
SCIA05(1037-1046).
Springer DOI Reference 0506 BibRef

Haindl, M.[Michal], Šimberová, S.[Stanislava],
A multi-model image line reconstruction,
CAIP95(735-740).
Springer DOI Reference 9509 BibRef
Earlier:
An adaptive image line reconstruction method,
ICPR94(C:153-155).
IEEE DOI Reference 9410Restore missing lines in multispectral images. BibRef

Sucher, R.,
A recursive nonlinear filter for removal of impulse noise,
ICIP95(I: 183-186).
IEEE DOI Reference 9510 BibRef
Earlier:
Removal of impulse noise by selective filtering,
ICIP94(II: 502-506).
IEEE DOI Reference 9411 BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Noise Removal, Adaptive, Non-linear Techniques .