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 Link. 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 Link. BibRef 8306

Nomura, Y., and Haruse, H.,
Reduction of Obscuration Noise Using Multiple Images,
PAMI(10), No. 2, March 1988, pp. 267-270.
IEEE 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 Link. 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 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 DOI 9610
BibRef
Earlier:
An image enhancement technique based on the FIRE operator,
ICIP95(I: 155-158).
IEEE DOI 9510
BibRef

Russo, F.[Fabrizio],
Hybrid neuro-fuzzy filter for impulse noise removal,
PR(32), No. 11, November 1999, pp. 1843-1855.
WWW Link. BibRef 9911
Earlier:
Nonlinear Filtering of Noisy Images Using Neuro-Fuzzy Operators,
ICIP97(III: 412-415).
IEEE 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 Link. BibRef 9908

Windyga, P.S.,
Fast Impulsive Noise Removal,
IP(10), No. 1, January 2001, pp. 173-179.
IEEE 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 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 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 Link. 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 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 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 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 Link. 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 Link. 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 Link. 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 Link. 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 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 Link. 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 Link. 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 Link. 0510
BibRef
Earlier:
A New Vector Median Filter Based on Fuzzy Metrics,
ICIAR05(81-90).
Springer 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 Link. 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 Link. 0711
BibRef
Earlier: A3, A2, A4, Only:
Fuzzy Bilateral Filtering for Color Images,
ICIAR06(I: 138-145).
Springer 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 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 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 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 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 Link. 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 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 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 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 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 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 DOI 0610
BibRef
And:
A New Fuzzy Filter for the Reduction of Randomly Valued Impulse Noise,
ICIP06(1809-1812).
IEEE DOI 0610
BibRef
Earlier:
A New Fuzzy Multi-channel Filter for the Reduction of Impulse Noise,
IbPRIA05(I:368).
Springer 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 DOI 1103
BibRef
Earlier: A2, A1, A3:
The Possibilities of Fuzzy Logic in Image Processing,
PReMI07(198-208).
Springer DOI 0712
BibRef

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 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 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 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 DOI 1307
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 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 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 0703
BibRef

Zhao, W., Pope, A.,
Image Restoration Under Significant Additive Noise,
SPLetters(14), No. 6, June 2007, pp. 401-404.
IEEE DOI 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 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 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 Link. 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 DOI 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 0806
BibRef
Earlier:
Evolutionary Tree-Structured Filter for Impulse Noise Removal,
ACIVS06(103-113).
Springer DOI 0609
BibRef
Earlier: A2, Only:
Impulse Noise Filter with Adaptive Mad-Based Threshold,
ICIP05(III: 337-340).
IEEE DOI 0512
BibRef

Obradovic, R.[Radovan], Janev, M.[Marko], Antic, B.[Borislav], Crnojevica, V.S.[Vladimir S.], Petrovic, N.I.[Nemanja I.],
Robust sparse image denoising,
ICIP11(2569-2572).
IEEE DOI 1201
BibRef

Yu, H., Zhao, L., Wang, H.,
An Efficient Procedure for Removing Random-Valued Impulse Noise in Images,
SPLetters(15), No. 1, 2008, pp. 922-925.
IEEE DOI 0901
BibRef

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.
Elsevier DOI 0903
BibRef
Earlier: A1, A2, Only:
A Variational Method with a Noise Detector for Impulse Noise Removal,
SSVM07(442-450).
Springer 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,
SPLetters(16), No. 4, April 2009, pp. 295-298.
IEEE DOI 0903
BibRef

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 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 DOI 0906
BibRef

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 DOI 0907
BibRef

Ghanekar, U., Singh, A.K., Pandey, R.,
A Contrast Enhancement-Based Filter for Removal of Random Valued Impulse Noise,
SPLetters(17), No. 1, January 2010, pp. 47-50.
IEEE DOI 0911
BibRef

Kaliraj, G., Baskar, S.,
An efficient approach for the removal of impulse noise from the corrupted image using neural network based impulse detector,
IVC(28), No. 3, March 2010, pp. 458-466.
Elsevier 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 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 DOI 1006
BibRef

Romano, Y.[Yaniv], Elad, M.[Michael],
Boosting of Image Denoising Algorithms,
SIIMS(8), No. 2, 2015, pp. 1187-1219.
DOI Link 1507
BibRef

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 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 Link. 1008
BibRef

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 DOI 1102
BibRef

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 DOI 1103
BibRef

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 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 DOI 1101
BibRef

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 DOI 1109
BibRef

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 DOI 1112
BibRef

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 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).
IEEE DOI 1208
BibRef

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

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 DOI 1204
BibRef

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 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],
An augmented Lagrangian approach to general dictionary learning for image denoising,
JVCIR(23), No. 5, July 2012, pp. 753-766.
Elsevier DOI 1205
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.
Elsevier DOI 1209
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 DOI 1206
BibRef

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 Link. 1210
BibRef

Muthukumar, S., Raju, G.,
A non-linear image denoising method for salt-and-pepper noise removal using Fuzzy-Based approach,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

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.
DOI Link 1211
BibRef

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 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 Link. 1301
BibRef

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 Link. 1302
BibRef

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 DOI 1301
BibRef

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,
JVCIR(24), No. 3, April 2013, pp. 283-294.
Elsevier DOI 1303
Image restoration; Mixed noise; Sparse representation; Masked K-SVD; Overcomplete dictionary; Noise classification; Bayesian decision rule; Variational denoising model BibRef

Hosseini, H., Marvasti, F.,
Fast restoration of natural images corrupted by high-density impulse noise,
JIVP(2013), No. 1, 2013, pp. 15.
DOI Link 1304
BibRef

Jin, L., Liu, H., Xu, X., Song, E.,
Quaternion-Based Impulse Noise Removal From Color Video Sequences,
CirSysVideo(23), No. 5, May 2013, pp. 741-755.
IEEE DOI 1305
BibRef

Baek, Y.M.[Yeul-Min], Kim, W.Y.[Whoi-Yul],
Noise Reduction Method for Image Signal Processor Based on Unified Image Sensor Noise Model,
IEICE(E96-D), No. 5, May 2013, pp. 1152-1161.
WWW Link. 1305
shot noise, dark-current noise, and fixed-pattern noise (FPN) together BibRef

Delon, J.[Julie], Desolneux, A.[Agnčs],
A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise,
SIIMS(6), No. 2, 2013, pp. 1140-1174.
DOI Link 1307
BibRef

Baljozovic, D.[Djordje], Kovacevic, B.[Branko], Baljozovic, A.[Aleksandra],
Mixed noise removal filter for multi-channel images based on halfspace deepest location,
IET-PR(7), No. 4, 2013, pp. 310-323.
DOI Link 1307
remove mixed, impulse and Gaussian, noise. based on See also High-dimensional computation of the deepest location. BibRef

Xu, Z.Y.[Zheng-Ya], Wu, H.R.[Hong Ren], Yu, X.H.[Xing-Huo], Qiu, B.[Bin],
Adaptive progressive filter to remove impulse noise in highly corrupted color images,
SIViP(7), No. 5, September 2013, pp. 817-831.
WWW Link. 1309
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).
IEEE DOI 0609
BibRef

Nair, M.S.[Madhu S.], Shankar, V.[Viju],
Predictive-based adaptive switching median filter for impulse noise removal using neural network-based noise detector,
SIViP(7), No. 6, November 2013, pp. 1041-1070.
WWW Link. 1310
BibRef

Yan, M.,
Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting,
SIIMS(6), No. 3, 2013, pp. 1227-1245.
DOI Link 1310
BibRef

Jayasree, P.S.[P. Syamala], Raj, P.[Paru], Kumar, P.[Pradeep], Siddavatam, R.[Rajesh], Ghrera, S.P.,
A fast novel algorithm for salt and pepper image noise cancellation using cardinal B-splines,
SIViP(7), No. 6, November 2013, pp. 1145-1157.
Springer DOI 1310
BibRef

Chen, F.[Fenge], Jiao, Y.L.[Yu-Ling], Ma, G.R.[Guo-Rui], Qin, Q.Q.[Qian-Qing],
Hybrid regularization image deblurring in the presence of impulsive noise,
JVCIR(24), No. 8, 2013, pp. 1349-1359.
Elsevier DOI 1312
Total variation BibRef

Kalyoncu, C., Toygar, O., Demirel, H.,
Interpolation-based impulse noise removal,
IET-IPR(7), No. 8, November 2013, pp. 777-785.
DOI Link 1402
image denoising BibRef

Kayhan, S.K.[Sema Koç],
An effective 2-stage method for removing impulse noise in images,
JVCIR(25), No. 2, 2014, pp. 478-486.
Elsevier DOI 1402
Impulse noise removal BibRef

Bhadouria, V.S.[Vivek Singh], Ghoshal, D.[Dibyendu], Siddiqi, A.H.[Abul Hasan],
A new approach for high density saturated impulse noise removal using decision-based coupled window median filter,
SIViP(8), No. 1, January 2014, pp. 71-84.
Springer DOI 1402
BibRef

Teoh, S.H.[Sin Hoong], Ibrahim, H.[Haidi],
Robust algorithm for broad impulse noise removal utilizing intensity distance and intensity height methodologies,
SIViP(8), No. 2, February 2014, pp. 223-242.
WWW Link. 1402
BibRef

Veerakumar, T., Esakkirajan, S., Vennila, I.[Ila],
Recursive cubic spline interpolation filter approach for the removal of high density salt-and-pepper noise,
SIViP(8), No. 1, January 2014, pp. 159-168.
WWW Link. 1402
BibRef

Li, Z.[Zuoyong], Liu, G.H.[Guang-Hai], Xu, Y.[Yong], Cheng, Y.[Yong],
Modified directional weighted filter for removal of salt & pepper noise,
PRL(40), No. 1, 2014, pp. 113-120.
Elsevier DOI 1403
Salt and pepper noise BibRef

Mendiola-Santibańez, J.D., Terol-Villalobos, I.R.,
Filtering of mixed Gaussian and impulsive noise using morphological contrast detectors,
IET-IPR(8), No. 3, March 2014, pp. 131-141.
DOI Link 1404
filtering theory BibRef

Pyatykh, S.[Stanislav], Hesser, J.[Jürgen],
Salt and pepper noise removal in binary images using image block prior probabilities,
JVCIR(25), No. 5, 2014, pp. 748-754.
Elsevier DOI 1406
Salt and pepper noise BibRef

Pyatykh, S.[Stanislav], Hesser, J.[Jürgen],
Image Sensor Noise Parameter Estimation by Variance Stabilization and Normality Assessment,
IP(23), No. 9, September 2014, pp. 3990-3998.
IEEE DOI 1410
error statistics BibRef

Pyatykh, S.[Stanislav], Hesser, J.[Jürgen], Zheng, L.,
Image Noise Level Estimation by Principal Component Analysis,
IP(22), No. 2, February 2013, pp. 687-699.
IEEE DOI 1302
BibRef

Varghese, J., Ghouse, M., Subash, S., Siddappa, M., Khan, M.S., Hussain, O.B.[O. Bin],
Efficient adaptive fuzzy-based switching weighted average filter for the restoration of impulse corrupted digital images,
IET-IPR(8), No. 4, April 2014, pp. 199-206.
DOI Link 1407
Gaussian processes BibRef

Jayasree, S.[Syamala], Bodduna, K.[Kireeti], Pattnaik, P.K.[Prasant Kumar], Siddavatam, R.[Rajesh],
An expeditious cum efficient algorithm for salt-and-pepper noise removal and edge-detail preservation using cardinal spline interpolation,
JVCIR(25), No. 6, 2014, pp. 1349-1365.
Elsevier DOI 1407
Edge-preserving regularization BibRef

Zhang, P., Li, F.,
A New Adaptive Weighted Mean Filter for Removing Salt-and-Pepper Noise,
SPLetters(21), No. 10, October 2014, pp. 1280-1283.
IEEE DOI 1407
Error analysis BibRef

Dawood, H.[Hussain], Dawood, H.[Hassan], Guo, P.[Ping],
Removal of high-intensity impulse noise by Weber's law Noise Identifier,
PRL(49), No. 1, 2014, pp. 121-130.
Elsevier DOI 1410
Weber's law BibRef

Hosseini, H., Hessar, F., Marvasti, F.,
Real-Time Impulse Noise Suppression from Images Using an Efficient Weighted-Average Filtering,
SPLetters(22), No. 8, August 2015, pp. 1050-1054.
IEEE DOI 1502
image denoising BibRef

Shang, J.D.[Jia-Dong], Wang, Z.[Zulin], Huang, Q.[Qin],
A Robust Algorithm for Joint Sparse Recovery in Presence of Impulsive Noise,
SPLetters(22), No. 8, August 2015, pp. 1166-1170.
IEEE DOI 1502
Bayes methods BibRef

Darsena, D., Gelli, G., Melito, F., Verde, F.,
ICI-Free Equalization in OFDM Systems with Blanking Preprocessing at the Receiver for Impulsive Noise Mitigation,
SPLetters(22), No. 9, September 2015, pp. 1321-1325.
IEEE DOI 1503
Monte Carlo methods BibRef

Bai, T.[Tian], Tan, J.Q.[Jie-Qing],
Automatic detection and removal of high-density impulse noises,
IET-IPR(9), No. 2, 2015, pp. 162-172.
DOI Link 1503
image denoising BibRef

Zhu, Z.[Zhu], Zhang, X.G.[Xiao-Guo], Wan, X.Y.[Xue-Yin], Wang, Q.[Qing],
A random-valued impulse noise removal algorithm with local deviation index and edge-preserving regularization,
SIViP(9), No. 1, January 2015, pp. 221-228.
WWW Link. 1503
BibRef

Sulaiman, S.N.[Siti Noraini], Isa, N.A.M.[Nor Ashidi Mat], Yusoff, I.A.[Intan Aidha], Ahmad, F.[Fadzil],
Switching-based clustering algorithms for segmentation of low-level salt-and-pepper noise-corrupted images,
SIViP(9), No. 2, February 2015, pp. 387-398.
Springer DOI 1503
BibRef

Wang, R.X.[Rui-Xuang], Pakleppa, M., Trucco, E.[Emanuele],
Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal,
IP(24), No. 5, May 2015, pp. 1485-1496.
IEEE DOI 1504
gradient methods BibRef

Wang, R.X.[Rui-Xuang], Trucco, E.[Emanuele],
Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal,
ICCV13(1073-1080)
IEEE DOI 1403
joint low-rank and sparse matrix recovery framework BibRef

Shi, K.[Kehan], Guo, Z.[Zhichang], Dong, G.[Gang], Sun, J.[Jiebao], Zhang, D.[Dazhi], Wu, B.[Boying],
Salt-and-Pepper Noise Removal via Local Hölder Seminorm and Nonlocal Operator for Natural and Texture Image,
JMIV(51), No. 3, March 2015, pp. 400-412.
Springer DOI 1504
BibRef

Pilevar, A.H.[Abdol Hamid], Saien, S.[Soudeh], Khandel, M.[Mina], Mansoori, B.[Bahman],
A new filter to remove salt and pepper noise in color images,
SIViP(9), No. 4, May 2015, pp. 779-786.
Springer DOI 1504
BibRef

Ponomaryov, V.[Volodymyr], Montenegro, H.[Hector], Rosales, A.[Alberto], Duchen, G.[Gonzalo],
Fuzzy 3D filter for color video sequences contaminated by impulsive noise,
RealTimeIP(10), No. 2, June 2015, pp. 313-328.
Springer DOI 1506
BibRef


Fehrenbach, J.[Jérôme], Nikolova, M.[Mila], Steidl, G.[Gabriele], Weiss, P.[Pierre],
Bilevel Image Denoising Using Gaussianity Tests,
SSVM15(117-128).
Springer DOI 1506
BibRef

Baek, S.[Seungin], Jeong, S.[Soowoong], Choi, J.S.[Jong-Soo], Lee, S.K.[Sang-Keun],
Impulse noise reduction using distance weighted average filter,
FCV15(1-5)
IEEE DOI 1506
image processing BibRef

Chen, Q.[Qiqiang], Wan, Y.[Yi],
A new framework for image impulse noise removal with postprocessing,
VCIP14(442-445)
IEEE DOI 1504
Gaussian distribution BibRef

Deborah, H.[Hilda], Richard, N.[Noël], Hardeberg, J.Y.[Jon Yngve],
Spectral Ordering Assessment Using Spectral Median Filters,
ISMM15(387-397).
Springer DOI 1506
BibRef
And:
Spectral Impulse Noise Model for Spectral Image Processing,
CCIW15(171-180).
Springer DOI 1504
BibRef

Nayak, D.K., Bhagvati, C.,
A new HSI based filtering technique for impulse noise removal in images,
NCVPRIPG13(1-5)
IEEE DOI 1408
filtering theory BibRef

Saikrishna, P.[Pedamalli], Bora, P.K.,
Detection and removal of random-valued impulse noise from images using sparse representations,
ICIP13(1197-1201)
IEEE DOI 1402
Dictionaries BibRef

Khellah, F.[Fakhry],
Application of Local Binary Pattern to Windowed Nonlocal Means Image Denoising,
CIAP13(I:21-30).
Springer DOI 1311
BibRef

Biswal, S.[Satyabrata], Bhoi, N.[Nilamani],
A new filter for removal of salt and pepper noise,
ICSIPR13(141-144).
IEEE DOI 1304
BibRef

Dharshini, A.L.S.[A. Leo Sahaya], Vasanth, K., SenthilKumar, V.J.[V. Jawahar], Selvan, S.[Shirley],
Removal of high density salt and pepper noise using neighborhood based switching filter,
ICSIPR13(224-228).
IEEE DOI 1304
BibRef

Benazir, T.M., Imran, B.M.,
Removal of high and low density impulse noise from digital images using non linear filter,
ICSIPR13(229-233).
IEEE DOI 1304
BibRef

Utaminingrum, F.[Fitri], Uchimura, K.[Keiichia], Koutaki, G.[Gou],
High density impulse noise removal based on linear mean-median filter,
FCV13(11-17).
IEEE DOI 1304
BibRef

Wan, Y.[Yi], Zhu, J.[Jiafa], Chen, Q.[Qiqiang],
On the nature of variational salt-and-pepper noise removal and its fast approximation,
ICIP12(1197-1200).
IEEE DOI 1302
BibRef

Zhang, H.[Haili], Chen, Y.M.[Yun-Mei],
A sparseland model for deblurring images in the presence of impulse noise,
ICIP12(3077-3080).
IEEE DOI 1302
BibRef

Rajamani, A., Krishnaveni, V., Padmaja, K., Thomas, N.S.[Neetha Susy],
High density impulse noise removal in RGB images using Lone Diagonal Sorting algorithm,
IMVIP12(48-52).
IEEE DOI 1302
BibRef

Sree, S.J.[S. Jayanthi], Ashwin, S., Kumar, S.A.[S. Aravind],
Edge preserving algorithm for impulse noise removal using FPGA,
IMVIP12(69-72).
IEEE DOI 1302
BibRef

Xu, J.W.[Jin-Wei], Pham, T.D.[Tuan D.],
Robust Impulse-Noise Filtering for Biomedical Images Using Numerical Interpolation,
ICIAR12(II: 146-155).
Springer DOI 1206
BibRef

Cho, C.Y.[Chao-Yi], Chen, T.M.[Tse-Min], Wang, W.S.[Wen-Shan], Liu, C.N.[Chun-Nan],
Real-Time Photo Sensor Dead Pixel Detection for Embedded Devices,
DICTA11(164-169).
IEEE DOI 1205
BibRef

Zhang, L.[Liang], Zhang, J.Z.[Jian-Zhou],
Two-stage method for salt-and-pepper noise removal using statistical jump regression analysis,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Singh, K.K.[Krishna Kant], Pal, K.[Kirat], Mehrotra, A.[Akansha], Nigam, M.J.,
A N8(P) detail preserving adaptive filter for impulse noise removal,
ICIIP11(1-4).
IEEE DOI 1112
BibRef

Pusateri, M.A.[Micheal A.], Scott, J.[Jesse], Mushtaq, U.[Umar],
Real-time adaptive pixel replacement,
AIPR10(1-5).
IEEE DOI 1010
Scintillation noise artifacts. BibRef

Song, Y.H.[Young-Hun], Han, Y.S.[Yun-Sang], Lee, S.K.[Sang-Keun],
Pixel Correlation-based Impulse Noise Reduction,
FCV11(1-4).
IEEE DOI 1102
BibRef

Majid, A.[Abdul], Mahmood, M.T.[Muhammad Tariq], Choi, T.S.[Tae-Sun],
A novel noise-free pixels based impulse noise filtering,
ICIP10(125-128).
IEEE DOI 1009
BibRef

Ohtsuka, T.[Tomohiko], Sasaki, H.[Homare], Suzuki, M.[Masato], Aoki, H.[Hiroyuki],
A New Flat Pattern Oriented Order Statistic Filter for Impulse Noise Reduction from Highly Corrupted Images,
MVA09(358-).
PDF File. 0905
BibRef

Fu, B.[Bo], Yang, K.C.[Ke-Cheng], Li, W.[Wei], Fan, F.[Fan],
A salt and pepper noise fast filtering algorithm for grayscale images based on neighborhood correlation detection,
IASP10(93-96).
IEEE DOI 1004
BibRef

Kam, H.S., Tan, W.H.,
Noise Detection Fuzzy (NDF) Filter for Removing Salt and Pepper Noise,
IVIC09(479-486).
Springer DOI 0911
BibRef

Xia, Y.S.[You-Shen],
A discrete-time algorithm for fast image restoration based on generalized least absolute deviation estimation,
ICIP09(1533-1536).
IEEE DOI 0911
BibRef

Zhang, W.B.[Wen-Bin], Cai, Q.[Qun], Wang, H.J.[Hong-Jun], Shen, L.[Lu], Li, J.S.[Jun-Sheng],
Application of Harmonic Wavelet Package to Feature Extraction in Impulsive Signal,
CISP09(1-3).
IEEE DOI 0910
BibRef

Li, F.[Fang], Fan, J.S.[Jin-Song],
Salt and Pepper Noise Removal by Adaptive Median Filter and Minimal Surface Inpainting,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, W.[Wei], Sun, Y.X.[Yan-Xia], Chen, S.J.[Sheng-Jian],
A New Algorithm for Removal of High-Density Salt and Pepper Noises,
CISP09(1-4).
IEEE DOI 0910
BibRef

Vaudrey, T.[Tobi], Klette, R.[Reinhard],
Fast Trilateral Filtering,
CAIP09(541-548).
Springer DOI 0909
Fast implementation of trilateral filter. See also Universal Noise Removal Algorithm With an Impulse Detector, A. BibRef

Saudia, S., Varghese, J.[Justin], Nallaperumal, K.[Krishnan], Mathew, S.P.[Santhosh P], Allwin, S., Thakur, S.K.,
An Adaptive Clustering Based Non-linear Filter for the Restoration of Impulse Corrupted Digital Images,
ICCVGIP08(9-16).
IEEE DOI 0812
BibRef

Deepti, G.P.[G. Phani], Borker, M.V.[Maruti V], Sivaswamy, J.[Jayanthi],
Impulse Noise Removal from Color Images with Hopfield Neural Network and Improved Vector Median Filter,
ICCVGIP08(17-24).
IEEE DOI 0812
BibRef

Pragada, S.[Sanjeev], Sivaswamy, J.[Jayanthi],
Image Denoising Using Matched Biorthogonal Wavelets,
ICCVGIP08(25-32).
IEEE DOI 0812
BibRef

Al-Khaffaf, H.S.M.[Hasan S. M.], Talib, A.Z.[Abdullah Zawawi], Abdul Salam, R.[Rosalina],
Salt and Pepper Noise Removal from Document Images,
IVIC09(607-618).
Springer DOI 0911
BibRef
Earlier:
Removing salt-and-pepper noise from binary images of engineering drawings,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Lezoray, O.[Olivier], Ta, V.T.[Vinh Thong], El Moataz, A.[Abderrahim],
Impulse noise removal by spectral clustering and regularization on graphs,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Aldinucci, M., Spampinato, C., Drocco, M., Torquati, M., Palazzo, S.,
A parallel edge preserving algorithm for salt and pepper image denoising,
IPTA12(97-104)
IEEE DOI 1503
adaptive filters BibRef

Faro, A., Giordano, D., Scarciofalo, G., Spampinato, C.,
Bayesian Networks for Edge Preserving Salt and Pepper Image Denoising,
IPTA08(1-5).
IEEE DOI 0811
BibRef

Ferdi, Y.[Youcef], Taleb-Ahmed, A.[Abdelmalik],
A Procedure for Efficient Generation of 1/fBeta Noise Sequences,
ICISP08(490-497).
Springer DOI 0807
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 0708
BibRef

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

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

Wang, Y.H.[Yun-Hua], 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 0603
BibRef

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

Alajlan, N.[Naif], Jernigan, E.[Ed],
An Effective Detail Preserving Filter for Impulse Noise Removal,
ICIAR04(I: 139-146).
WWW Link. 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 Link. 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 DOI 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 DOI 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
See also Hypergraph Imaging: An Overview. BibRef

Zhang, D., Shi, Z., Wang, H., Kouri, D.,
Nonlinear Filtering Impulse Noise Removal from Corrupted Images,
ICIP00(Vol III: 285-287).
IEEE DOI 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 BibRef 9600

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

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

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

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


Last update:Jul 26, 2015 at 22:38:21