4.10.1.8 Noise Removal, Wavelet Techniques

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 Link 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 Link 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 Link 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 Abstract. IEEE Top Reference. 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 Version. 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 Abstract. IEEE Top Reference. 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 Link 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 Link 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 Link 0609
BibRef

Pizurica, A., Philips, W., Lemahieu, I.,
A Wavelet-Based Image Denoising Technique Using Spatial Priors,
ICIP00(Vol III: 296-299).
IEEE Abstract. IEEE Top Reference. 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 Link shrinkage, coring, threshold.
HTML Version. or for postscript version:
Postscript Version. 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 Abstract. IEEE Top Reference.
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 Version. 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 Abstract. IEEE Top Reference. 0210
BibRef

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

IEEE DOI Link BibRef

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

IEEE DOI Link 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 Link 0505
BibRef

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

IEEE DOI Link BibRef

Selesnick, I.W.,
A new complex-directional wavelet transform and its application to image denoising,
ICIP02(III: 573-576).
IEEE Abstract. IEEE Top Reference. 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 Link 0311
BibRef

Portilla, J.,
Full blind denoising through noise covariance estimation using gaussian scale mixtures in the wavelet domain,
ICIP04(II: 1217-1220).
IEEE DOI Link 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 Link 0712
BibRef
Earlier: A1, A3, Only:
Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids,
ICIP06(625-628). 0610

IEEE DOI Link BibRef
Earlier: A1, A3, Only:
Two-Level Adaptive Denoising Using Gaussian Scale Mixtures in Overcomplete Oriented Pyramids,
ICIP05(I: 105-108).
IEEE DOI Link 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 Link 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 Abstract. IEEE Top Reference. 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 Link 0810
BibRef
Earlier:
Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model,
ICIP06(1433-1436). 0610

IEEE DOI Link 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 Abstract. IEEE Top Reference. 0108

HTML Version. And
Postscript Version. BibRef

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

HTML Version. And
Postscript Version. 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. IEEE Top Reference. 0306
BibRef

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

Ghazel, M., Freeman, G.H., Vrscay, E.R.,
Fractal image denoising,
IP(12), No. 12, December 2003, pp. 1560-1578.
IEEE DOI Link 0402
BibRef
Earlier:
Fractal-wavelet image denoising,
ICIP02(I: 836-839).
IEEE Abstract. IEEE Top Reference. 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 Link 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 Link 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.
WWW Version.
WWW Version. 0905
measure-valued images; multifunctions; nonlocal image processing; self-similarity; nonlocal-means denoising; fractal transforms; iterated function systems 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 Link 0404
BibRef

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

Scheunders, P.,
Wavelet-based enhancement and denoising using multiscale structure tensor,
ICIP02(III: 569-572).
IEEE Abstract. IEEE Top Reference. 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. IEEE Top Reference. 0409
BibRef
Earlier:
Multiple Basis Wavelet Denoising using Besov Projections,
ICIP99(I:595-599).
IEEE Abstract. IEEE Top Reference. 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. IEEE Top Reference. 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 Version. 0410
BibRef

Chen, G.Y.[Guang-Yi], Kégl, B.,
Image denoising with complex ridgelets,
PR(40), No. 2, February 2007, pp. 578-585.
WWW Version. 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.
WWW Version. 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. IEEE Top Reference. 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 Link 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 Link 0512
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 Version. 0606
BibRef
And: Reply to Comments: PRL(28), No. 13, 1 October 2007, pp. 1848-1851.
WWW Version. 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 Link 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 Version. 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. IEEE Top Reference. 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 Link 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 Version. 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 Version. 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. IEEE Top Reference. 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 Link 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 Link 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 Link 0510
BibRef
And:
Correspondences between Wavelet Shrinkage and Nonlinear Diffusion,
ScaleSpace03(101-116).
HTML Version. 0310
BibRef

Mrázek, P.[Pavel], Weickert, J.[Joachim],
Rotationally Invariant Wavelet Shrinkage,
DAGM03(156-163).
HTML Version. 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 Link 0608
BibRef

Steidl, G.[Gabriele], Weickert, J.[Joachim],
Relations between Soft Wavelet Shrinkage and Total Variation Denoising,
DAGM02(198 ff.).
HTML Version. 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 Link 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.
WWW Version.
WWW Version. wavelets; dual-trees; restoration; deconvolution; optimization; convex analysis; iterative algorithms; forward-backward; Douglas-Rachford; variational methods; Bayesian approaches; maximum a posteriori; Poisson noise BibRef 0900

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 Link 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 Link 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.
WWW Version. 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.
WWW Version. 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 Link 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 Link 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 Link 0512
BibRef
And: Corrections: IP(15), No. 3, March 2006, pp. 789-789.
IEEE DOI Link 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 Link 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 Link 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 Link 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 Version. 0603
BibRef
Earlier:
Applications of multiwavelet techniques to image denoising,
ICIP02(III: 581-584).
IEEE Abstract. IEEE Top Reference. 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 Link 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 Link 0609
BibRef
Earlier: A2, A1, A3:
Combined wavelet domain and temporal video denoising,
AVSBS03(334-341).
IEEE Abstract. IEEE Top Reference. 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 Link 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 Version. 0610
BibRef
Earlier:
Monoscale Dual Ridgelet Frame,
ICIAR05(263-269).
Springer DOI Link 0509
BibRef

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

Liu, K.[Kang], Jiao, L.C.[Li-Cheng],
Adaptive Curved Feature Detection Based on Ridgelet,
ICIAR04(I: 487-494).
WWW Version. 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 Version. 0703
BibRef
Earlier:
Wavelet Atoms Approximation for Simultaneous Image Compression and De-Noising,
ICIP05(III: 333-336).
IEEE DOI Link 0512
BibRef
Earlier:
Image De-noising via Overlapping Wavelet Atoms,
ICIAR04(I: 179-186).
WWW Version. 0409
Image restoration; Image compression; Wavelets; Thresholding; Overlapping effects principle; Minimum description BibRef

Bruni, V.[Vittoria], Vitulano, D.[Domenico],
Image Denoising Using Similarities in the Time-Scale Plane,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef
And:
Transients Detection in the Time-Scale Domain,
ICISP08(254-262).
Springer DOI Link 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 Version. 0804
BibRef

Bruni, V.[Vittoria], de Canditiis, D., Vitulano, D.[Domenico],
Phase Information and Space Filling Curves in Noisy Motion Estimation,
IP(18), No. 7, July 2009, pp. 1660-1664.
IEEE DOI Link 0906
BibRef

Bhuiyan, M.I.H., Ahmad, M.O., Swamy, M.N.S.,
Spatially Adaptive Wavelet-Based Method Using the Cauchy Prior for Denoising the SAR Images,
CirSysVideo(17), No. 4, April 2007, pp. 500-507.
IEEE DOI Link 0705
BibRef

Bhuiyan, M.I.H., Ahmad, M.O., Swamy, M.N.S.,
Wavelet-based image denoising with the normal inverse Gaussian prior and linear MMSE estimator,
IET-IPR(2), No. 4, August 2008, pp. 203-217.
WWW Version. 0905
BibRef

Rahman, S.M.M.[S. M. Mahbubur], Ahmad, M.O.[M. Omair], Swamy, M.N.S.,
Bayesian Wavelet-Based Image Denoising Using the Gauss-Hermite Expansion,
IP(17), No. 10, October 2008, pp. 1755-1771.
IEEE DOI Link 0809
BibRef
Earlier:
Locally Adaptive Wavelet-Based Image Denoising using the Gram-Charlier Prior Function,
ICIP07(III: 549-552).
IEEE DOI Link 0709
BibRef

Rahman, S.M.M., Ahmad, M.O., Swamy, M.N.S.,
A New Statistical Detector for DWT-Based Additive Image Watermarking Using the Gauss-Hermite Expansion,
IP(18), No. 8, August 2009, pp. 1782-1796.
IEEE DOI Link 0907
BibRef

Gupta, N., Swamy, M.N.S., Plotkin, E.I.,
Wavelet domain-based video noise reduction using temporal discrete cosine transform and hierarchically adapted thresholding,
IET-IPR(1), No. 1, March 2007, pp. 2-12.
WWW Version. 0905
BibRef
Earlier: A1, A3, A2:
Temporally-Adaptive MAP Estimation for Video Denoising in the Wavelet Domain,
ICIP06(1449-1452). 0610

IEEE DOI Link BibRef

De Backer, S.[Steve], Pizurica, A.[Aleksandra], Huysmans, B.[Bruno], Philips, W.[Wilfried], Scheunders, P.[Paul],
Denoising of multicomponent images using wavelet least-squares estimators,
IVC(26), No. 7, 2 July 2008, pp. 1038-1051.
WWW Version. 0804
Multicomponent images; Denoising; Wavelets; Bayesian estimation; Least squares estimators BibRef

Scheunders, P.[Paul], de Backer, S.[Steve],
Wavelet Denoising of Multicomponent Images Using Gaussian Scale Mixture Models and a Noise-Free Image as Priors,
IP(16), No. 7, July 2007, pp. 1865-1872.
IEEE DOI Link 0707
BibRef
Earlier:
Wavelet Denoising of Multicomponent Images, using a Noise-Free Image,
ICIP06(2617-2620). 0610

IEEE DOI Link BibRef
Earlier:
Wavelet denoising of multicomponent images, using a Gaussian Scale Mixture model,
ICPR06(III: 754-757).
WWW Version. 0609
BibRef

Mignotte, M.[Max],
A Post-Processing Deconvolution Step for Wavelet-Based Image Denoising Methods,
SPLetters(14), No. 9, September 2007, pp. 621-624.
IEEE DOI Link 0709
BibRef

Tan, S.[Shan], Jiao, L.C.[Li-Cheng],
Multivariate Statistical Models for Image Denoising in the Wavelet Domain,
IJCV(75), No. 2, November 2007, pp. 209-230.
Springer DOI Link 0710
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Jia, J.[Jian], Jiao, L.C.[Li-Cheng],
Using Shear Invariant for Image Denoising in the Contourlet Domain,
IWICPAS06(377-386).
Springer DOI Link 0608
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Lu, X.L.[Xiao-Liang], Liu, R.G.[Rong-Gao], Liu, J.Y.[Ji-Yuan], Liang, S.L.[Shun-Lin],
Removal of Noise by Wavelet Method to Generate High Quality Temporal Data of Terrestrial MODIS Products,
PhEngRS(73), No. 10, October 2007, pp. 1129-1140.
WWW Version. 0709
A new method to enhance the ability to remove noise in time-series data products. BibRef

Figueiredo, M.A.T., Nowak, R.D.,
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IP(10), No. 9, September 2001, pp. 1322-1331.
IEEE DOI Link 0108
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Earlier:
Image restoration under wavelet-domain priors: An expectation-maximization approach,
ICIP02(I: 337-340).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Figueiredo, M.A.T., Nowak, R.D.,
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IP(12), No. 8, August 2003, pp. 906-916.
IEEE DOI Link 0308
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Figueiredo, M.A.T.[Mário A.T.],
Bayesian Image Segmentation Using Gaussian Field Priors,
EMMCVPR05(74-89).
Springer DOI Link 0601
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Bayesian Image Segmentation Using Wavelet-Based Priors,
CVPR05(I: 437-443).
IEEE DOI Link 0507
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Figueiredo, M.A.T., Bioucas-Dias, J.M., Nowak, R.D.,
Majorization-Minimization Algorithms for Wavelet-Based Image Restoration,
IP(16), No. 12, December 2007, pp. 2980-2991.
IEEE DOI Link 0711
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Jiang, L.L.[Ling-Ling], Feng, X.C.[Xiang-Chu], Yin, H.Q.[Hai-Qing],
Variational Image Restoration and Decomposition with Curvelet Shrinkage,
JMIV(30), No. 2, February 2008, pp. 125-132.
Springer DOI Link 0801
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Hel-Or, Y.[Yacov], Shaked, D.[Doron],
A Discriminative Approach for Wavelet Denoising,
IP(17), No. 4, April 2008, pp. 443-457.
IEEE DOI Link 0803
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Tan, S., Jiao, L., Kakadiaris, I.A.,
Wavelet-Based Bayesian Image Estimation: From Marginal and Bivariate Prior Models to Multivariate Prior Models,
IP(17), No. 4, April 2008, pp. 469-481.
IEEE DOI Link 0803
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Vonesch, C., Unser, M.,
A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution,
IP(17), No. 4, April 2008, pp. 539-549.
IEEE DOI Link 0803
3-D deconvolution. BibRef

Vonesch, C., Unser, M.,
A Fast Multilevel Algorithm for Wavelet-Regularized Image Restoration,
IP(18), No. 3, March 2009, pp. 509-523.
IEEE DOI Link 0903
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Marusic, B.[Bostjan], Skocir, P.[Primoz], Tasic, J.[Jurij], Kosir, A.[Andrej],
Video Post-Processing with Adaptive 3-D Filters for Wavelet Ringing Artifact Removal,
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Khare, A.[Ashish], Tiwary, U.S.[Uma Shanker],
Daubechies Complex Wavelet Transform Based Technique For Denoising Of Medical Images,
IJIG(7), No. 4, October 2007, pp. 663-687. 0710
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Lu, J.M.[Jian-Ming], Wang, L.[Ling], Li, Y.[Yeqiu], Yahagi, T.[Takashi],
Noise Removal For Medical X-ray Images In Multiwavelet Domain,
IJIG(8), No. 1, January 2008, pp. 25-46. 0801
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Zhou, D.W.[Deng-Wen], Cheng, W.G.[Wen-Gang],
Image denoising with an optimal threshold and neighbouring window,
PRL(29), No. 11, 1 August 2008, pp. 1694-1697.
WWW Version. 0804
Image denoising; Adaptive; Dual tree; Wavelet transforms; Neighbourhood BibRef

Meena, S.[Srinivasan], Annadurai, S.,
Improved spatially adaptive MDL denoising of images using normalized maximum likelihood density,
IVC(26), No. 11, 1 November 2008, pp. 1524-1529.
WWW Version. 0804
Minimum description length; Wavelet denoising; Normalized maximum likelihood BibRef

Borsdorf, A.[Anja], Raupach, R.[Rainer], Flohr, T., Hornegger, J.[Joachim],
Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis,
MedImg(27), No. 12, December 2008, pp. 1685-1703.
IEEE DOI Link 0812
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Earlier: A1, A2, A4, Only:
Wavelet Based Noise Reduction by Identification of Correlations,
DAGM06(21-30).
Springer DOI Link 0610
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Smith, C.B., Agaian, S., Akopian, D.,
A Wavelet-Denoising Approach Using Polynomial Threshold Operators,
SPLetters(15), No. 1, 2008, pp. 906-909.
IEEE DOI Link 0901
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Goossens, B.[Bart], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain,
IP(18), No. 6, June 2009, pp. 1153-1165.
IEEE DOI Link 0905
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Earlier:
Removal of Correlated Noise by Modeling Spatial Correlations and Interscale Dependencies in the Complex Wavelet Domain,
ICIP07(I: 317-320).
IEEE DOI Link 0709
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Earlier:
Wavelet Domain Image Denoising for Non-Stationary Noise and Signal-Dependent Noise,
ICIP06(1425-1428). 0610

IEEE DOI Link See also Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures. BibRef

Yang, J.Y.[Jing-Yu], Wang, Y.[Yao], Xu, W.L.[Wen-Li], Dai, Q.H.[Qiong-Hai],
Image and Video Denoising Using Adaptive Dual-Tree Discrete Wavelet Packets,
CirSysVideo(19), No. 5, May 2009, pp. 642-655.
IEEE DOI Link 0906
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Earlier: A1, A3, A2, A4:
2-D Anisotropic Dual-Tree Complex Wavelet Packets and Its Application to Image Denoising,
ICIP08(2328-2331).
IEEE DOI Link 0810
See also Face Recognition Using Anisotropic Dual-Tree Complex Wavelet Packets. See also Image Coding Using Dual-Tree Discrete Wavelet Transform. BibRef

Raja, S.S.[S. Selvakumar], John, M.[Mala],
EM algorithm-based adaptive custom thresholding for image denoising in wavelet domain,
IJIST(19), No. 3, September 2009, pp. 175-178.
WWW Version. 0909
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Yu, H., Zhao, L., Wang, H.,
Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain,
IP(18), No. 10, October 2009, pp. 2364-2369.
IEEE DOI Link 0909
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Minamoto, T.[Teruya], Fujii, S.[Satoshi],
A Digital Image Denoising Method with Edge Preservation Using Dyadic Lifting Schemes,
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Springer DOI Link 0901
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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 Link 0810
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Ashamol, V.G., Sreelekha, G., Sathidevi, P.S.,
Diffusion-based image denoising combining curvelet and wavelet,
WSSIP08(169-172).
IEEE DOI Link 0806
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Pyka, K., Siedlik, J.,
The Use of Wavelets for Noise Detection in the Images Taken by the Analog and Digital Photogrammetric Cameras,
ISPRS08(B1: 77 ff).
PDF Version. 0807
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Fu, G.[Guoyi], Hojjat, A.[Ali], Colchester, A.[Alan],
Wavelet Noise Reduction Based on Energy Features,
ICIAR08(xx-yy).
Springer DOI Link 0806
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Ghazal, M.[Mohammed], Amer, A.[Aishy],
Total Occlusion Correction using Invariant Wavelet Features,
ICIP07(III: 345-348).
IEEE DOI Link 0709
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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 Link 0810
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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 Link 0709
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Rapantzikos, K.[Konstantinos], Avrithis, Y.[Yannis], Kollias, S.[Stefanos],
salienShrink: Saliency-Based Wavelet Shrinkage,
ICIP07(I: 305-308).
IEEE DOI Link 0709
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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 Link 0708
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Tan, X.[Xi], He, H.[Hong],
Image Denoising Based on the Ridgelet Frame Using the Generalized Cross Validation Technique,
ICIAR07(38-45).
Springer DOI Link 0708
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Rabbani, H., Vafadust, M., Gazor, S.,
Image Denoising Based on a Mixture of Laplace Distributions with Local Parameters in Complex Wavelet Domain,
ICIP06(2597-2600). 0610

IEEE DOI Link 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).
WWW Version. 0609
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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 Link 0601
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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 Link 0509
BibRef
Earlier:
Motion-Compensated Wavelet Video Denoising,
ICIAR04(I: 572-579).
WWW Version. 0409
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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 Link 0512
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Nezamoddini-Kachouie, N.[Nezamoddin], Fieguth, P.W.[Paul W.], Jernigan, E.[Edward],
BayesShrink Ridgelets for Image Denoising,
ICIAR04(I: 163-170).
WWW Version. 0409
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Chen, P.[Pei], Suter, D.,
Shift-invariant wavelet denoising using interscale dependency,
ICIP04(II: 1005-1008).
IEEE DOI Link 0505
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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 Link 0409
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Yuan, X.H.[Xiao-Hui], Buckles, B.P.,
Subband noise estimation for adaptive wavelet shrinkage,
ICPR04(IV: 885-888).
IEEE DOI Link 0409
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Ye, Z.[Zhen], Lu, C.C.[Cheng-Chang],
A wavelet domain hierarchical hidden Markov model,
ICIP04(V: 3491-3494).
IEEE DOI Link 0505
BibRef
Earlier:
A complex wavelet domain markov model for image denoising,
ICIP03(III: 365-368).
IEEE Abstract. IEEE Top Reference. 0312
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Qin, J.H.[Jin-Hui], El-Sakka, M.R.,
A new wavelet-based method for contrast-edge enhancement,
ICIP03(III: 397-400).
IEEE Abstract. IEEE Top Reference. 0312
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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 Link 0211
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Fletcher, A.K., Ramchandran, K., Goyal, V.K.,
Wavelet denoising by recursive cycle spinning,
ICIP02(II: 873-876).
IEEE Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 0008
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Zhong, S.,
Image Denoising Using Wavelet Thresholding and Model Selection,
ICIP00(Vol III: 262-265).
IEEE Abstract. IEEE Top Reference. 0008
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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 Abstract. IEEE Top Reference. 0008
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Huang, X., Woolsey, G.A.,
Image Denoising Using Wiener Filtering and Wavelet Thresholding,
ICME00(WP11). 0007
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Han, K.J., Tewfik, A.H.,
Hybrid wavelet transform filter for image recovery,
ICIP98(I: 540-543).
IEEE DOI Link 9810
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Nowak, R.D., Timmermann, K.E.,
Stationary wavelet-based intensity models for photon-limited imaging,
ICIP98(I: 620-624).
IEEE DOI Link 9810
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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 Link 9810
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DeVore, R.A., Lucier, B.J.,
Classifying the Smoothness of Images: Theory and Applications to Wavelet Image Processing,
ICIP94(II: 6-10).
IEEE DOI Link 9411
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Fractal Representations, Fractal Dimension .