4.10.1.8 Noise Removal, Wavelet Techniques

Chapter Contents (Back)
Noise Removal. Wavelets. Wavelet Denoising.

Xu, Y.S.[Yan-Sun], Weaver, J.B., Healy, D.M., Lu, J.[Jian],
Wavelet transform domain filters: a spatially selective noise filtration technique,
IP(3), No. 6, November 1994, pp. 747-758.
IEEE DOI 0402
BibRef

Banham, M.R., Galatsanos, N.P., Gonzalez, H.L., Katsaggelos, A.K.,
Multichannel restoration of single channel images using a wavelet-based subband decomposition,
IP(3), No. 6, November 1994, pp. 821-833.
IEEE DOI 0402
BibRef

Malfait, M., Roose, D.,
Wavelet-Based Image Denoising Using a Markov Random-Field a-Priori Model,
IP(6), No. 4, April 1997, pp. 549-565.
IEEE DOI 9704
BibRef

Mohcak, M.K., Kozintsev, I., Ramchandran, K., Moulin, P.,
Low-Complexity Image Denoising Based on Statistical Modeling of Wavelet Coefficients,
SPLetters(6), No. 12, December 1999, pp. 300.
IEEE Top Reference. 9911
BibRef

Liu, J.[Juan], Moulin, P.[Pierre],
Image Denoising Based on Scale-Space Mixture Modeling of Wavelet Coefficients,
ICIP99(I:386-390).
IEEE DOI BibRef 9900

Carré, P.[Philippe], Fernandez-Maloigne, C.[Christine],
Use of the angle information in the wavelet transform maxima for image de-noising,
IVC(18), No. 13, October 2000, pp. 1055-1065.
WWW Link. 0008
BibRef

Fan, G.L.[Guo-Liang], Xia, X.G.[Xiang-Gen],
Image Denoising Using a Local Contextual Hidden Markov Model in the Wavelet Domain,
SPLetters(8), No. 5, May 2001, pp. 125-128.
IEEE Top Reference. 0105
BibRef
Earlier:
Wavelet-based Image Denoising Using Hidden Markov Models,
ICIP00(Vol III: 258-261).
IEEE DOI 0008
See also Unsupervised Bayesian Image Segmentation Using Wavelet-Domain Hidden Markov Models. BibRef

Weng, W.G., Fan, W.C., Liao, G.X., Qin, J.,
Wavelet-based image denoising in (digital) particle image velocimetry,
SP(81), No. 7, July 2001, pp. 1503-1512.
HTML Version. 0110
BibRef

Pizurica, A.[Aleksandra], Philips, W.[Wilfried], Lemahieu, I., Acheroy, M.,
A joint inter- and intrascale statistical model for bayesian wavelet based image denoising,
IP(11), No. 5, May 2002, pp. 545-557.
IEEE DOI 0206
See also Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures. BibRef

Jovanov, L.[Ljubomir], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
Wavelet Based Joint Denoising of Depth and Luminance Images,
3DTV07(1-5).
IEEE DOI 0705
BibRef

Schulte, S.[Stefan], Huysmans, B.[Bruno], Pižurica, A.[Aleksandra], Kerre, E.E.[Etienne E.], Philips, W.[Wilfried],
A New Fuzzy-Based Wavelet Shrinkage Image Denoising Technique,
ACIVS06(12-23).
Springer DOI 0609
BibRef

Pizurica, A., Philips, W., Lemahieu, I.,
A Wavelet-Based Image Denoising Technique Using Spatial Priors,
ICIP00(Vol III: 296-299).
IEEE DOI 0008
BibRef

Simoncelli, E.P.,
Bayesian Denoising of Visual Images in the Wavelet Domain,
BIWBM(18), Spring, 1999, pp. 291-308.
HTML Version. BibRef 9900

Simoncelli, E.P.[Eero P.], Adelson, E.H.,
Noise Removal via Bayesian Wavelet Coring,
ICIP96(I: 379-382).
IEEE DOI shrinkage, coring, threshold.
HTML Version. or for postscript version:
PS File. Or Look under
HTML Version. BibRef 9600

Wainwright, M.J., and Simoncelli, E.P.,
Scale Mixtures of Gaussians and the Statistics of Natural Images,
ANIPS(12), May, 2000, pp. 855-861.
HTML Version. BibRef 0005

Wainwright, M.J., Simoncelli, E.P., Willsky, A.S.,
Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images with Application to Denoising,
ICIP00(Vol I: 260-263).
IEEE DOI
HTML Version. 0008
BibRef

Wainwright, M.J., Simoncelli, E.P., and Willsky, A.S.,
Random Cascades on Wavelet Trees and Their Use in Modeling and Analyzing Natural Imagery,
SPIE(40??), 45th Annual Meeting, July, 2000. The SPIE site doesn't list it anywhere.
HTML Version. BibRef 0007

Simoncelli, E.P.,
Modeling the Joint Statistics of Images in the Wavelet Domain,
SPIE(3813), July, 1999, pp. 188-195.
HTML Version. BibRef 9907

Simoncelli, E.P., and Schwartz, O.,
Image Statistics and Cortical Normalization Models,
ANIPS(11), 1999, pp. 153-159.
HTML Version. BibRef 9900

Portilla, J., Strela, V., Wainwright, M., Simoncelli, E.P.,
Image Denoising using Gaussian Scale Mixtures in the Wavelet Domain,
TRTR2002-831, Computer Science Dept, New York University. 2002. Bayesian, non-Gaussian
HTML Version. And
PDF File. BibRef 0200

Sendur, L., Selesnick, I.W.,
Bivariate Shrinkage Functions for Wavelet-Based Denoising Exploiting Interscale Dependency,
TSP(50), No. 11, November 2002, pp. 2744-2756. BibRef 0211
Earlier:
Subband adaptive image denoising via bivariate shrinkage,
ICIP02(III: 577-580).
IEEE DOI 0210
BibRef

Lo, W.Y.[Wan Yee], Selesnick, I.W.,
Wavelet-Domain Soft-Thresholding for Non-Stationary Noise,
ICIP06(1441-1444).
IEEE DOI 0610
BibRef

Shi, F.[Fei], Selesnick, I.W.,
Multivariate Quasi-Laplacian Mixture Models For Wavelet-Based Image Denoising,
ICIP06(2625-2628).
IEEE DOI 0610
BibRef

Selesnick, I.W., Van Slyke, R., Guleryuz, O.G.,
Pixel recovery via el minimization in the wavelet domain,
ICIP04(III: 1819-1822).
IEEE DOI 0505
BibRef

Selesnick, I.W.,
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function,
ICIP06(2097-2100).
IEEE DOI 0610
BibRef

Selesnick, I.W.,
A new complex-directional wavelet transform and its application to image denoising,
ICIP02(III: 573-576).
IEEE DOI 0210
BibRef

Portilla, J., Strela, V., Wainwright, M.J., Simoncelli, E.P.,
Image denoising using scale mixtures of gaussians in the wavelet domain,
IP(12), No. 11, November 2003, pp. 1338-1351.
IEEE DOI 0311
Implementation: See also Analysis and Improvement of the BLS-GSM Denoising Method, An. BibRef

Portilla, J.,
Full blind denoising through noise covariance estimation using gaussian scale mixtures in the wavelet domain,
ICIP04(II: 1217-1220).
IEEE DOI 0505
BibRef

Guerrero-Colon, J.A., Mancera, L., Portilla, J.,
Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids,
IP(17), No. 1, January 2008, pp. 27-41.
IEEE DOI 0712
BibRef
Earlier: A1, A3, Only:
Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids,
ICIP06(625-628).
IEEE DOI 0610
BibRef
Earlier: A1, A3, Only:
Two-Level Adaptive Denoising Using Gaussian Scale Mixtures in Overcomplete Oriented Pyramids,
ICIP05(I: 105-108).
IEEE DOI 0512
BibRef

Guerrero-Colon, J.A.[Jose A.], Simoncelli, E.P.[Eero P.], Portilla, J.[Javier],
Image denoising using mixtures of Gaussian scale mixtures,
ICIP08(565-568).
IEEE DOI 0810
BibRef

Strela, V., Portilla, J., Simoncelli, E.P.,
Image Denoising Using a Local Gaussian Scale Mixture Model in the Wavelet Domain,
SPIE(4119), pp. 363-371, December 2000.
HTML Version. BibRef 0012

Portilla, J., Simoncelli, E.P.,
Image restoration using gaussian scale mixtures in the wavelet domain,
ICIP03(II: 965-968).
IEEE DOI 0312
BibRef

Hammond, D.K., Simoncelli, E.P.,
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures,
IP(17), No. 11, November 2008, pp. 1-1.
IEEE DOI 0810
BibRef
Earlier:
Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model,
ICIP06(1433-1436).
IEEE DOI 0610
BibRef

Portilla, J., Strela, V., Wainwright, M., Simoncelli, E.P.,
Adaptive Wiener Denoising Using a Gaussian Scale Mixture Model in the Wavelet Domain,
ICIP01(II: 37-40).
IEEE DOI
HTML Version. And
PS File. 0108
BibRef

Portilla, J., Simoncelli, E.P.,
Image Denoising Via Adjustment of Wavelet Coefficient Magnitude Correlation,
ICIP00(Vol III: 277-280).
IEEE DOI 0008

HTML Version. And
PS File. BibRef

Pizurica, A., Philips, W., Lemahieu, I., Acheroy, M.,
A versatile wavelet domain noise filtration technique for medical imaging,
MedImg(22), No. 3, March 2003, pp. 323-331.
IEEE Abstract. 0306
BibRef

Kazubek, M.,
Wavelet domain image denoising by thresholding and wiener filtering,
SPLetters(10), No. 11, November 2003, pp. 324-326.
IEEE Abstract. 0310
BibRef

Ghazel, M., Freeman, G.H., Vrscay, E.R.,
Fractal image denoising,
IP(12), No. 12, December 2003, pp. 1560-1578.
IEEE DOI 0402
BibRef
Earlier:
Fractal-wavelet image denoising,
ICIP02(I: 836-839).
IEEE DOI 0210
BibRef

Ghazel, M., Freeman, G.H., Vrscay, E.R.,
Fractal-Wavelet Image Denoising Revisited,
IP(15), No. 9, August 2006, pp. 2669-2675.
IEEE DOI 0608
BibRef

Ghazel, M., Freeman, G.H., Vrscay, E.R., Ward, R.K.,
Wavelet Image Denoising Using Localized Thresholding Operators,
ICIAR05(149-158).
Springer DOI 0509
BibRef

La Torre, D., Vrscay, E.R., Ebrahimi, M., Barnsley, M.F.,
Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images,
SIIMS(2), No. 2, 2009, pp. 470-507.
DOI Link 0905
measure-valued images; multifunctions; nonlocal image processing; self-similarity; nonlocal-means denoising; fractal transforms; iterated function systems BibRef

Otero, D.[Daniel], Michailovich, O.V.[Oleg V.], Vrscay, E.R.[Edward R.],
An Examination of Several Methods of Hyperspectral Image Denoising: Over Channels, Spectral Functions and Both Domains,
ICIAR14(I: 131-140).
Springer DOI 1410
BibRef

Otero, D.[Daniel], La Torre, D.[Davide], Vrscay, E.R.[Edward R.],
Structural Similarity-Based Optimization Problems with L1-Regularization: Smoothing Using Mollifiers,
ICIAR15(33-42).
Springer DOI 1507
BibRef
Earlier: A1, A3, Only:
Unconstrained Structural Similarity-Based Optimization,
ICIAR14(I: 167-176).
Springer DOI 1410
BibRef

Otero, D.[Daniel], La Torre, D.[Davide], Vrscay, E.R.[Edward R.],
Image Denoising Using Euler-Lagrange Equations for Function-Valued Mappings,
ICIAR16(110-119).
Springer DOI 1608
BibRef
And: A3, A1, A2:
Hyperspectral Images as Function-Valued Mappings, Their Self-similarity and a Class of Fractal Transforms,
ICIAR13(225-234).
Springer DOI 1307
BibRef

Glew, D., Vrscay, E.R.[Edward R.],
Self-similarity of Images in the Wavelet Domain in Terms of L2 and Structural Similarity (SSIM),
ICIAR12(I: 131-140).
Springer DOI 1206
BibRef

Glew, D., Vrscay, E.R.[Edward R.],
Max and Min Values of the Structural Similarity Function S(x,a) on the L2 Sphere SR(a), a ? RN,
ICIAR12(I: 69-78).
Springer DOI 1206
BibRef

Xie, J.C.[Jie-Cheng], Zhang, D.[Dali], Xu, W.L.[Wen-Li],
Spatially adaptive wavelet denoising using the minimum description length principle,
IP(13), No. 2, February 2004, pp. 179-187.
IEEE DOI 0404
BibRef

Scheunders, P.,
Wavelet Thresholding of Multivalued Images,
IP(13), No. 4, April 2004, pp. 475-483.
IEEE DOI 0404
BibRef

Scheunders, P.,
Wavelet-based enhancement and denoising using multiscale structure tensor,
ICIP02(III: 569-572).
IEEE DOI 0210
BibRef

Choi, H.H.[Hyeok-Ho], Baraniuk, R.G.[Richard G.],
Multiple Wavelet Basis Image Denoising Using Besov Ball Projections,
SPLetters(11), No. 9, September 2004, pp. 717-720.
IEEE Abstract. 0409
BibRef
Earlier:
Multiple Basis Wavelet Denoising using Besov Projections,
ICIP99(I:595-599).
IEEE DOI BibRef

Zhang, J.H., Janschek, K., Bohme, J.F., Zeng, Y.J.,
Multi-resolution dyadic wavelet denoising approach for extraction of visual evoked potentials in the brain,
VISP(151), No. 3, June 2004, pp. 180-186.
IEEE Abstract. 0409
BibRef

Chen, G.Y., Bui, T.D., Krzyzak, A.,
Image denoising with neighbour dependency and customized wavelet and threshold,
PR(38), No. 1, January 2005, pp. 115-124.
WWW Link. 0410
BibRef

Chen, G.Y.[Guang-Yi], Kégl, B.,
Image denoising with complex ridgelets,
PR(40), No. 2, February 2007, pp. 578-585.
WWW Link. 0611
Image denoising; Wavelets; Ridgelets; Complex ridgelets BibRef

de Stefano, A., White, P.R., Collis, W.B.,
Selection of Thresholding Scheme for Image Noise Reduction on Wavelet Components Using Bayesian Estimation,
JMIV(21), No. 3, November 2004, pp. 225-233.
DOI Link 0410
BibRef

Eom, I.K.[Il Kyu], Kim, Y.S.[Yoo Shin],
Wavelet-based denoising with nearly arbitrarily shaped windows,
SPLetters(11), No. 12, December 2004, pp. 937-940.
IEEE Abstract. 0412
BibRef

Fadili, J.M., Boubchir, L.,
Analytical Form for a Bayesian Wavelet Estimator of Images Using the Bessel K Form Densities,
IP(14), No. 2, February 2005, pp. 231-240.
IEEE DOI 0501
BibRef
Earlier: A2, A1:
Bayesian Denoising Based on the Map Estimation In Wavelet-Domain Using Bessel K Form Prior,
ICIP05(I: 113-116).
IEEE DOI 0512
BibRef

Boubchir, L.[Larbi], Nait-Ali, A.[Amine], Petit, E.[Eric],
Multivariate statistical modeling of images in sparse multiscale transforms domain,
ICIP10(1877-1880).
IEEE DOI 1009
BibRef

Boubchir, L.[Larbi], Boumaza, R.[Rachid], Pumo, B.[Besnik],
Multivariate statistical modeling of images in wavelet and curvelet domain using the Bessel K Form densities,
ICIP09(3957-3960).
IEEE DOI 0911
BibRef

Boubchir, L.[Larbi], Fadili, J.M.[Jalal M.],
A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior,
PRL(27), No. 12, September 2006, pp. 1370-1382.
WWW Link. 0606
BibRef
And: Reply to Comments: PRL(28), No. 13, 1 October 2007, pp. 1848-1851.
WWW Link. 0709
Wavelets; Bayesian denoiser; [alpha]-stable; Gaussian mixture model; Posterior conditional mean See also Comments on A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate [alpha]-stable prior. BibRef

Boubchir, L., Fadili, J.M., Bloyet, D.,
Bayesian denoising in the wavelet-domain using an analytical approximate alpha-stable prior,
ICPR04(IV: 889-892).
IEEE DOI 0409
BibRef

Achim, A.[Alin], Kuruoglu, E.E.[Ercan E.], Bezerianos, A.[Anastasios], Tsakalides, P.[Panagiotis],
Comments on 'A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate [alpha]-stable prior',
PRL(28), No. 13, 1 October 2007, pp. 1845-1847.
WWW Link. 0709
Alpha-stable distributions; Image denoising; Bayesian estimation; Wavelet transform See also closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior, A. BibRef

Achim, A.[Alin], Kuruoglu, E.E.[Ercan E.],
Image denoising using bivariate alpha-stable distributions in the complex wavelet domain,
SPLetters(12), No. 1, January 2005, pp. 17-20.
IEEE Abstract. 0501
BibRef

Achim, A., Herranz, D., Kuruoglu, E.E.,
Astrophysical image denoising using bivariate isotropic Cauchy distributions in the undecimated wavelet domain,
ICIP04(II: 1225-1228).
IEEE DOI 0505
BibRef

Cho, D.W.[Dong-Wook], Bui, T.D.[Tien D.],
Multivariate statistical modeling for image denoising using wavelet transforms,
SP:IC(20), No. 1, January 2005, pp. 77-89.
WWW Link. 0501
BibRef

Huang, K.Q.[Kai-Qi], Wu, Z.Y.[Zhen-Yang], Fung, G.S.K.[George S.K.], Chan, F.H.Y.[Francis H.Y.],
Color image denoising with wavelet thresholding based on human visual system model,
SP:IC(20), No. 2, February 2005, pp. 115-127.
WWW Link. 0501
BibRef

Zhang, L., Bao, P., Wu, X.,
Multiscale LMMSE-Based Image Denoising With Optimal Wavelet Selection,
CirSysVideo(15), No. 4, April 2005, pp. 469-481.
IEEE Abstract. 0501
BibRef

Bharath, A.A.[Anil A.], Ng, J.[Jeffrey],
A Steerable Complex Wavelet Construction and Its Application to Image Denoising,
IP(14), No. 7, July 2005, pp. 948-959.
IEEE DOI 0506
See also Extrapolative Spatial Models for Detecting Perceptual Boundaries in Colour Images. See also Obtaining medial responses from steerable filters. BibRef

Ranta, R., Louis-Dorr, V., Heinrich, C., Wolf, D.,
Iterative Wavelet-Based Denoising Methods and Robust Outlier Detection,
SPLetters(12), No. 8, August 2005, pp. 557-560.
IEEE DOI 0508
BibRef

Mrázek, P.[Pavel], Weickert, J.[Joachim], Steidl, G.[Gabriele],
Diffusion-Inspired Shrinkage Functions and Stability Results for Wavelet Denoising,
IJCV(64), No. 2-3, September 2005, pp. 171-186.
Springer DOI 0510
BibRef
And:
Correspondences between Wavelet Shrinkage and Nonlinear Diffusion,
ScaleSpace03(101-116).
Springer DOI 0310
BibRef

Mrázek, P.[Pavel], Weickert, J.[Joachim],
Rotationally Invariant Wavelet Shrinkage,
DAGM03(156-163).
Springer DOI 0310
BibRef

Welk, M.[Martin], Weickert, J.[Joachim], Steidl, G.[Gabriele],
From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage,
ECCV06(I: 391-403).
Springer DOI 0608
BibRef

Steidl, G.[Gabriele], Weickert, J.[Joachim],
Relations between Soft Wavelet Shrinkage and Total Variation Denoising,
DAGM02(198 ff.).
Springer DOI 0303
BibRef

Benazza-Benyahia, A., Pesquet, J.C.,
Building Robust Wavelet Estimators for Multicomponent Images Using Stein's Principle,
IP(14), No. 11, November 2005, pp. 1814-1830.
IEEE DOI 0510
BibRef

Chaux, C.[Caroline], Pesquet, J.C.[Jean-Christophe], Pustelnik, N.[Nelly],
Nested Iterative Algorithms For Convex Constrained Image Recovery Problems,
SIIMS(2), No. 2, 2009, pp. 730-762.
DOI Link wavelets; dual-trees; restoration; deconvolution; optimization; convex analysis; iterative algorithms; forward-backward; Douglas-Rachford; variational methods; Bayesian approaches; maximum a posteriori; Poisson noise See also Image Analysis Using a Dual-Tree M-Band Wavelet Transform. BibRef 0900

Pustelnik, N.[Nelly], Chaux, C.[Caroline], Pesquet, J.C.[Jean-Christophe],
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization,
IP(20), No. 9, September 2011, pp. 2450-2462.
IEEE DOI 1109
BibRef

Benazza-Benyahia, A.[Amel], Pesquet, J.C.[Jean-Christophe], Chaux, C.,
Image Denoising in the Wavelet Transform Domain Based on Stein's Principle,
IPTA08(1-9).
IEEE DOI 0811
BibRef

Shui, P.L.[Peng-Lang],
Image denoising algorithm via doubly local Wiener filtering with directional windows in wavelet domain,
SPLetters(12), No. 10, October 2005, pp. 681-684.
IEEE DOI 0510
BibRef

Shui, P.L.,
Image denoising using 2-D separable oversampled DFT modulated filter banks,
IET-IPR(3), No. 3, June 2009, pp. 163-173.
DOI Link 0906
BibRef

Shui, P.L.[Peng-Lang], Zhou, Z.F., Li, J.X.,
Image denoising algorithm via best wavelet packet base using Wiener cost function,
IET-IPR(1), No. 3, September 2007, pp. 311-318.
DOI Link 0905
BibRef

Lian, N.X.[Nai-Xiang], Zagorodnov, V.[Vitali], Tan, Y.P.[Yap-Peng],
Color Image Denoising Using Wavelets and Minimum Cut Analysis,
SPLetters(12), No. 11, November 2005, pp. 741-744.
IEEE DOI 0510
BibRef

Lian, N.X., Zagorodnov, V., Tan, Y.P.,
Edge-Preserving Image Denoising via Optimal Color Space Projection,
IP(15), No. 9, August 2006, pp. 2575-2587.
IEEE DOI 0608
BibRef

Balster, E.J., Zheng, Y.F., Ewing, R.L.,
Feature-Based Wavelet Shrinkage Algorithm for Image Denoising,
IP(14), No. 12, December 2005, pp. 2024-2039.
IEEE DOI 0512
BibRef
And: Corrections: IP(15), No. 3, March 2006, pp. 789-789.
IEEE DOI 0604
BibRef

Balster, E.J., Zheng, Y.F., Ewing, R.L.,
Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising,
CirSysVideo(16), No. 2, February 2006, pp. 220-230.
IEEE DOI 0604
BibRef

Charnigo, R., Sun, J., Muzic, Jr., R.,
A Semi-Local Paradigm for Wavelet Denoising,
IP(15), No. 3, March 2006, pp. 666-677.
IEEE DOI 0604
BibRef

Bioucas-Dias, J.M.[José M.],
Bayesian Wavelet-Based Image Deconvolution: A GEM Algorithm Exploiting a Class of Heavy-Tailed Priors,
IP(15), No. 4, April 2006, pp. 937-951.
IEEE DOI 0604
BibRef

Bala, E.[Erdem], Ertüzün, A.[Aysin],
A Multivariate Thresholding Technique for Image Denoising Using Multiwavelets,
JASP(2005), No. 8, 2005, pp. 1205-1211.
WWW Link. 0603
BibRef
Earlier:
Applications of multiwavelet techniques to image denoising,
ICIP02(III: 581-584).
IEEE DOI 0210
BibRef

Kim, D., Lee, Y., Oh, H.S.,
Hierarchical-Likelihood-Based Wavelet Method for Denoising Signals With Missing Data,
SPLetters(13), No. 6, June 2006, pp. 361-364.
IEEE DOI 0606
BibRef

Zlokolica, V., Pizurica, A., Philips, W.,
Wavelet-Domain Video Denoising Based on Reliability Measures,
CirSysVideo(16), No. 8, August 2006, pp. 993-1007.
IEEE DOI 0609
BibRef
Earlier: A2, A1, A3:
Combined wavelet domain and temporal video denoising,
AVSBS03(334-341).
WWW Link. 0310
BibRef

Jovanov, L., Pizurica, A., Schulte, S., Schelkens, P., Munteanu, A., Kerre, E., Philips, W.,
Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods,
CirSysVideo(19), No. 3, March 2009, pp. 417-421.
IEEE DOI 0903
See also Complexity Scalability in Motion-Compensated Wavelet-Based Video Coding. BibRef

Shan, T.[Tan], Jiao, L.C.[Li-Cheng],
Image denoising using the ridgelet bi-frame,
JOSA-A(23), No. 10, October 2006, pp. 2449-2461.
WWW Link. 0610
BibRef
Earlier:
Monoscale Dual Ridgelet Frame,
ICIAR05(263-269).
Springer DOI 0509
BibRef

Shan, T.[Tan], Jiao, L.C.[Li-Cheng], Feng, X.C.[Xiang-Chu],
Ridgelets Frame,
ICIAR04(I: 479-486).
Springer DOI 0409
BibRef

Liu, K.[Kang], Jiao, L.C.[Li-Cheng],
Adaptive Curved Feature Detection Based on Ridgelet,
ICIAR04(I: 487-494).
Springer DOI 0409
BibRef

Bruni, V.[Vittoria], Vitulano, D.[Domenico],
Combined image compression and denoising using wavelets,
SP:IC(22), No. 1, January 2007, pp. 86-101.
WWW Link. 0703
BibRef
Earlier:
Wavelet Atoms Approximation for Simultaneous Image Compression and De-Noising,
ICIP05(III: 333-336).
IEEE DOI 0512
BibRef
Earlier:
Image De-noising via Overlapping Wavelet Atoms,
ICIAR04(I: 179-186).
Springer DOI 0409
Image restoration; Image compression; Wavelets; Thresholding; Overlapping effects principle; Minimum description BibRef

Bruni, V.[Vittoria], Vitulano, D.[Domenico],
Time-Scale Similarities for Robust Image De-noising,
JMIV(44), No. 1, September 2012, pp. 52-64.
WWW Link. 1206
BibRef
Earlier:
Image Denoising Using Similarities in the Time-Scale Plane,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef
And:
Transients Detection in the Time-Scale Domain,
ICISP08(254-262).
Springer DOI 0807
BibRef

Bruni, V.[Vittoria], Piccoli, B.[Benedetto], Vitulano, D.[Domenico],
Wavelets and partial differential equations for image denoising,
ELCVIA(6), No. 2, September 2007, pp. 36-53.
WWW Link. 0804
See also fast computation method for time scale signal denoising, A. BibRef

Bruni, V.[Vittoria], Rossi, E.[Elisa], Vitulano, D.[Domenico],
Optimal Image Restoration Using HVS-Based Rate-Distortion Curves,
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Earlier:
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IEEE DOI 1203
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gradient methods BibRef

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IEEE DOI 0901
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image denoising BibRef

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Feng, X.C.[Xiang-Chu], Li, X.H.[Xiao-Hui], Wang, W.W.[Wei-Wei], Jia, X.X.[Xi-Xi],
Improvement of BM3D Algorithm Based on Wavelet and Directed Diffusion,
CMVIT17(28-33)
IEEE DOI 1704
Block-matching and 3D filtering. Denoising. BibRef

Zidi, A., Marot, J., Bourennane, S., Spinnler, K.,
Automatic rank estimation of Parafac decomposition and application to multispectral image wavelet denoising,
ICIP16(3101-3105)
IEEE DOI 1610
Decision support systems BibRef

Bitenc, M., Kieffer, D.S., Khoshelham, K.,
Evaluation Of Wavelet And Non-local Mean Denoising Of Terrestrial Laser Scanning Data For Small-scale Joint Roughness Estimation,
ISPRS16(B3: 181-186).
DOI Link 1610
BibRef

Fassold, H.[Hannes], Schallauer, P.[Peter],
A hybrid wavelet and temporal fusion algorithm for film and video denoising,
MVA15(275-278)
IEEE DOI 1507
Noise BibRef

Boubchir, L., Al-Maadeed, S., Bouridane, A.,
Undecimated wavelet-based Bayesian denoising in mixed Poisson-Gaussian noise with application on medical and biological images,
IPTA14(1-5)
IEEE DOI 1503
Bayes methods BibRef

Nafornita, C., Isar, A., Nelson, J.D.B.,
Regularised, semi-local hurst estimation via generalised lasso and dual-tree complex wavelets,
ICIP14(2689-2693)
IEEE DOI 1502
Estimation BibRef

Iizuka, Y.[Yuki], Tanaka, Y.[Yuichi],
Depth map denoising using collaborative graph wavelet shrinkage on connected image patches,
ICIP14(828-832)
IEEE DOI 1502
Collaboration BibRef

Yang, K.[Kun], Deng, C.X.[Cai-Xia], Chen, Y.[Yu], Xu, L.X.[Li-Xiang],
The de-noising method of threshold function based on wavelet,
ICWAPR14(87-92)
IEEE DOI 1402
Noise BibRef

Wang, J.F.[Jian-Fei],
A wavelet denoising method based on the improved threshold function,
ICWAPR14(70-74)
IEEE DOI 1402
Image denoising BibRef

Ansari, R.A., Mohan, B.K.,
Noise Filtering of Remotely Sensed Images using Iterative Thresholding of Wavelet and Curvelet Transforms,
LandImaging14(57-64).
DOI Link 1411
BibRef

Gajbhar, S.S., Joshi, M.V.,
Image denoising using redundant finer directional wavelet transform,
NCVPRIPG13(1-4)
IEEE DOI 1408
Bayes methods BibRef

Ray, P.[Partha], Maitra, A.K., Basuray, A.[Arijit],
A new threshold function for de-noising partial discharge signal based on wavelet transform,
ICSIPR13(185-189).
IEEE DOI 1304
BibRef

Mudugamuwa, D.J.[Damith J.], He, X.J.[Xiang-Jian], Jia, W.J.[Wen-Jing],
Battle-Lemarie wavelet pyramid for improved GSM image denoising,
ICPR12(3156-3159).
WWW Link. 1302
cell phone signals. BibRef

Bhandari, A.K., Gadde, M., Kumar, A., Singh, G.K.,
Comparative analysis of different wavelet filters for low contrast and brightness enhancement of multispectral remote sensing images,
IMVIP12(81-86).
IEEE DOI 1302
BibRef

Shi, S., Gong, W., Lv, L., Zhu, B., Song, S.,
Signal Noise Reduction Based on Wavelet Transform in Two-Wavelength Lidar System,
ISPRS12(XXXIX-B7:449-452).
DOI Link 1209
BibRef

Tran, M.P.[Minh-Phuong], Péteri, R.[Renaud], Bergounioux, M.[Maitine],
Denoising 3D Medical Images Using a Second Order Variational Model and Wavelet Shrinkage,
ICIAR12(II: 138-145).
Springer DOI 1206
BibRef

Aravind, B.N., Suresh, K.V.,
Wavelet Based Image Denoising Using Multi-Spinning,
NCVPRIPG11(118-121).
IEEE DOI 1205
BibRef

Xiang, Z.J.[Zhen James], Zhang, Z.[Zhuo], Xu, P.M.[Ping-Mei], Ramadge, P.J.[Peter J.],
Learning a wavelet tree for multichannel image denoising,
ICIP11(2565-2568).
IEEE DOI 1201
BibRef

Pan, X.[Xun], Zhang, J.Y.[Jing-Yuan],
Denoising method for acoustic wake based on correlation of multiwavelet coefficient,
IASP11(474-479).
IEEE DOI 1112
BibRef

Xi, Z.Q.[Zi-Qiang], Fu, Z.J.[Zhong-Jia], Qi, L.[Lei], Wang, S.[Sha],
A study on 2D signal noise reduction method for wavelet analysis,
IASP11(248-251).
IEEE DOI 1112
BibRef

Abid, M., Cagnazzo, M., Pesquet-Popescu, B.,
Image denoising by adaptive lifting schemes,
EUVIP10(108-113).
IEEE DOI 1110
BibRef

Dan, Z.P.[Zhi-Ping], Chen, X.[Xi], Gan, H.T.[Hai-Tao], Gao, C.X.[Chang-Xin],
Locally Adaptive Shearlet Denoising Based on Bayesian MAP Estimate,
ICIG11(28-32).
IEEE DOI 1109
BibRef

Zhang, X.[Xi], Tanaka, A.[Atsushi],
Flicker reduction for motion JPEG2000 using wavelet thresholding,
ICIP10(2529-2532).
IEEE DOI 1009
BibRef

Chen, G.Y.[Guang-Yi], Bui, T.D.[Tien D.], Krzyzak, A.[Adam],
Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking,
ICIAR10(I: 45-51).
Springer DOI 1006
BibRef

Li, L.L.[Ling-Ling], Han, T.[Tao], Lou, L.[Liantang],
Remote sensing image enhancement based on wavelet and nonlinear iteration,
IASP10(660-662).
IEEE DOI 1004
BibRef

Ouarti, N.[Nizar], Peyre, G.[Gabriel],
Best basis denoising with non-stationary wavelet packets,
ICIP09(3825-3828).
IEEE DOI 0911
BibRef

Conci, A., Kubrusly, C.S., Rauber, T.W.,
Influence of the Wavelet Family in the Compression-Denoising Technique on Synthetic and Natural Images,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Song, J.P.[Jin-Ping], Luo, S.S.[Shou-Sheng], Yang, X.Y.[Xiao-Yi],
Wavelet-Based Multi-Scale Variation Image Noise Removal Model and the Image Geometry-Adapted Method for Multi-Scale Parameters Determining,
CISP09(1-5).
IEEE DOI 0910
BibRef

Liu, X.X.[Xin-Xia], Han, F.L.[Fu-Lian], Wang, J.G.[Jin-Gui],
Wavelet Extended EMD Noise Reduction Model for Signal Trend Extraction,
CISP09(1-5).
IEEE DOI 0910
BibRef

Yang, Z.J.[Zhi-Jun], Dai, G.[Guang], Zhao, H.L.[Hai-Long], Jiang, Y.B.[Yan-Biao],
Research of Magnetic Flux Leakage Signal Processing Based on Wavelet De-Noising and EMD,
CISP09(1-4).
IEEE DOI 0910
BibRef

Yan, Y.[Yan], Cui, Z.Z.[Zhan-Zhong],
Noise and Zero Excursion Elimination of Electrostatic Detection Signals Based on EMD and Wavelet Transform,
CISP09(1-5).
IEEE DOI 0910
BibRef

Dai, J.X.[Jian-Xin],
Image Denoising Based on Combining Neighbouring Wavelet Coefficients,
CISP09(1-3).
IEEE DOI 0910
BibRef

Ren, S.K.[Shang-Kun], Zhu, Z.B.[Zhi-Bin], Lin, T.H.[Tian-Hua], Song, K.[Kai], Ren, J.L.[Ji-Lin],
Design for the ACFM Sensor and the Signal Processing Based on Wavelet De-Noise,
CISP09(1-4).
IEEE DOI 0910
BibRef

Shang, L.[Li], Zhang, J.F.[Jin-Feng], Huai, W.J.[Wen-Jun], Chen, J.[Jie], Du, J.X.[Ji-Xiang],
Natural Image Denoising Using Sparse ICA Based on 2-D Gabor Wavelet,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wang, Z.L.[Ze-Long], Yan, F.X.[Feng-Xia], Liu, J.Y.[Ji-Ying], Zhu, J.[Jubo],
A New Approach for Wavelet Denoising Based on Training,
CISP09(1-4).
IEEE DOI 0910
BibRef

Wu, B.S.[Bing-Sheng], Cai, C.Z.[Chao-Zhi],
Wavelet Denoising and Its Implementation in LabVIEW,
CISP09(1-4).
IEEE DOI 0910
BibRef

Wu, W.[Wei], Chen, F.[Fuyi],
Improving Wavelet De-Noise By Means of Shifting-Scale-Method,
CISP09(1-4).
IEEE DOI 0910
BibRef

Xu, B.L.[Bing-Lian], Zhang, Q.S.[Qiu-Sheng],
Image denoising based on a new symmetrical second-generation wavelet,
IASP09(1-4).
IEEE DOI 0904
BibRef

Minamoto, T.[Teruya], Fujii, S.[Satoshi],
A Digital Image Denoising Method with Edge Preservation Using Dyadic Lifting Schemes,
PSIVT09(283-294).
Springer DOI 0901
BibRef

Laparra, V.[Valero], Gutierrez, J.[Juan], Camps-Valls, G.[Gustavo], Malo, J.[Jesus],
Recovering wavelet relations using SVM for image denoising,
ICIP08(541-544).
IEEE DOI 0810
See also PCA Gaussianization for image processing. BibRef

Ashamol, V.G., Sreelekha, G., Sathidevi, P.S.,
Diffusion-based image denoising combining curvelet and wavelet,
WSSIP08(169-172).
IEEE DOI 0806
BibRef

Fu, G.[Guoyi], Hojjat, A.[Ali], Colchester, A.[Alan],
Wavelet Noise Reduction Based on Energy Features,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Ghazal, M.[Mohammed], Amer, A.[Aishy],
Total Occlusion Correction using Invariant Wavelet Features,
ICIP07(III: 345-348).
IEEE DOI 0709
BibRef

Saito, T.[Takahiro], Ishii, Y.[Yuki], Aizawa, H.[Haruya], Yamada, D.[Daisuke], Komatsu, T.[Takashi],
Image-processing approach via nonlinear image-decomposition for a digital color camera,
ICIP08(905-908).
IEEE DOI 0810
BibRef

Ishii, Y.[Yuki], Saito, T.[Takahiro], Komatsu, T.[Takashi],
Denoising Via Nonlinear Image Decomposition for a Digital Color Camera,
ICIP07(I: 309-312).
IEEE DOI 0709
BibRef

Rapantzikos, K.[Konstantinos], Avrithis, Y.S.[Yannis S.], Kollias, S.D.[Stefanos D.],
salienShrink: Saliency-Based Wavelet Shrinkage,
ICIP07(I: 305-308).
IEEE DOI 0709
BibRef

Li, J., Mohamed, S.S., Salama, M.M.A., Freeman, G.H.,
Subband-Adaptive and Spatially-Adaptive Wavelet Thresholding for Denoising and Feature Preservation of Texture Images,
ICIAR07(24-37).
Springer DOI 0708
BibRef

Tan, X.[Xi], He, H.[Hong],
Image Denoising Based on the Ridgelet Frame Using the Generalized Cross Validation Technique,
ICIAR07(38-45).
Springer DOI 0708
BibRef

Wu, J.Y.[Ji-Ying], Ruan, Q.Q.[Qiu-Qi],
Combining Adaptive PDE and Wavelet Shrinkage in Image Denoising with Edge Enhancing Property,
ICPR06(III: 718-721).
IEEE DOI 0609
BibRef

Raghavendra, B.S., Bhat, P.S.[P. Subbanna],
Shift-Invariant Image Denoising Using Mixture of Laplace Distributions in Wavelet-Domain,
ACCV06(I:180-188).
Springer DOI 0601
BibRef

Jin, F.[Fu], Fieguth, P.W.[Paul W.], Winger, L.L.[Lowell L.],
Image Denoising Using Complex Wavelets and Markov Prior Models,
ICIAR05(73-80).
Springer DOI 0509
BibRef
Earlier:
Motion-Compensated Wavelet Video Denoising,
ICIAR04(I: 572-579).
Springer DOI 0409
BibRef

Tao, Q.C.[Qing-Chuan], He, X.H.[Xiao-Hai], Deng, H.B.[Hong-Bin], Liu, Y.[Ying], Zhao, J.[Jia],
Wavelet Transform Based Gaussian Point Spread Function Estimation,
ISVC05(396-405).
Springer DOI 0512
BibRef

Nezamoddini-Kachouie, N.[Nezamoddin], Fieguth, P.W.[Paul W.], Jernigan, E.[Edward],
BayesShrink Ridgelets for Image Denoising,
ICIAR04(I: 163-170).
Springer DOI 0409
BibRef

Chen, P.[Pei], Suter, D.,
Shift-invariant wavelet denoising using interscale dependency,
ICIP04(II: 1005-1008).
IEEE DOI 0505
BibRef

Shetty, P.K., Ramu, T.S.,
An undecimated wavelet transform based denoising, PPCAa based pulse modeling and detection-classification of PD signals,
ICPR04(IV: 873-876).
IEEE DOI 0409
BibRef

Yuan, X.H.[Xiao-Hui], Buckles, B.P.,
Subband noise estimation for adaptive wavelet shrinkage,
ICPR04(IV: 885-888).
IEEE DOI 0409
BibRef

Ye, Z.[Zhen], Lu, C.C.[Cheng-Chang],
A wavelet domain hierarchical hidden Markov model,
ICIP04(V: 3491-3494).
IEEE DOI 0505
BibRef
Earlier:
A complex wavelet domain markov model for image denoising,
ICIP03(III: 365-368).
IEEE DOI 0312
BibRef

Qin, J.H.[Jin-Hui], El-Sakka, M.R.,
A new wavelet-based method for contrast-edge enhancement,
ICIP03(III: 397-400).
IEEE DOI 0312
BibRef

Zhu, H.L.[Hai-Long], Kwok, J.T., Qu, L.[LiangSheng],
Improving de-noising by coefficient de-noising and dyadic wavelet transform,
ICPR02(II: 273-276).
IEEE DOI 0211
BibRef

Fletcher, A.K., Ramchandran, K., Goyal, V.K.,
Wavelet denoising by recursive cycle spinning,
ICIP02(II: 873-876).
IEEE DOI 0210
BibRef

Achim, A., Bezerianos, A., Tsakalides, P.,
Wavelet-based Ultrasound Image Denoising Using an Alpha-stable Prior Probability Model,
ICIP01(II: 221-224).
IEEE DOI 0108
BibRef

Berkner, K., Gormish, M., Schwartz, E., Boliek, M.,
A New Wavelet-based Approach to Sharpening and Smoothing of Images in Besov Spaces with Applications to Deblurring,
ICIP00(Vol III: 797-800).
IEEE DOI 0008
BibRef

Zhong, S.,
Image Denoising Using Wavelet Thresholding and Model Selection,
ICIP00(Vol III: 262-265).
IEEE DOI 0008
BibRef

Zhang, H.P.[Hui-Pin], Nosratinia, A., Wells, Jr., R.O.,
Modelling the Autocorrelation of Wavelet Coefficients for Image Denoising,
ICIP00(Vol III: 304-307).
IEEE DOI 0008
BibRef

Huang, X., Woolsey, G.A.,
Image Denoising Using Wiener Filtering and Wavelet Thresholding,
ICME00(WP11). 0007
BibRef

Han, K.J., Tewfik, A.H.,
Hybrid wavelet transform filter for image recovery,
ICIP98(I: 540-543).
IEEE DOI 9810
BibRef

Nowak, R.D., Timmermann, K.E.,
Stationary wavelet-based intensity models for photon-limited imaging,
ICIP98(I: 620-624).
IEEE DOI 9810
BibRef

Li, W.Z.[Wen-Zhe], Lin, J.N.[Ji-Nan], Unbehauen, R.,
Wavelet based nonlinear image enhancement for Gaussian and uniform noise,
ICIP98(I: 550-554).
IEEE DOI 9810
BibRef

DeVore, R.A., Lucier, B.J.,
Classifying the Smoothness of Images: Theory and Applications to Wavelet Image Processing,
ICIP94(II: 6-10).
IEEE DOI 9411
BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Curvelet Transform .


Last update:Jul 15, 2017 at 20:56:55