4.10.2 Curvelet Transform

Chapter Contents (Back)
Curvelet.

Ma, J., Plonka, G.,
Combined Curvelet Shrinkage and Nonlinear Anisotropic Diffusion,
IP(16), No. 9, September 2007, pp. 2198-2206.
IEEE DOI 0709
BibRef

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 0801
BibRef

Ma, J., Plonka, G.,
The Curvelet Transform,
SPMag(27), No. 2, 2010, pp. 118-133.
IEEE DOI 1003
BibRef

Storath, M.[Martin],
Directional Multiscale Amplitude and Phase Decomposition by the Monogenic Curvelet Transform,
SIIMS(4), No. 1, 2011, pp. 57-78.
DOI Link BibRef 1100
Earlier:
The monogenic curvelet transform,
ICIP10(353-356).
IEEE DOI 1009
curvelet transform; analytic signal; monogenic signal; Hilbert transform; Riesz transform; directional wavelet transform BibRef

Cui, H.[Hua], Yan, G.[Gabeng], Song, H.[Huansheng],
A novel curvelet thresholding denoising method based on chi-squared distribution,
SIViP(9), No. 2, February 2015, pp. 491-498.
WWW Link. 1503
BibRef

Aghazadeh, N.[Nasser], Akbarifard, F.[Farideh], Cigaroudy, L.S.[Ladan Sharafyan],
A restoration-segmentation algorithm based on flexible Arnoldi-Tikhonov method and Curvelet denoising,
SIViP(10), No. 5, May 2016, pp. 935-942.
Springer DOI 1608
BibRef

Balci, H.[Hasan], Güdükbay, U.[Ugur],
Sun position estimation and tracking for virtual object placement in time-lapse videos,
SIViP(11), No. 5, July 2017, pp. 817-824.
WWW Link. 1706
BibRef

Qiao, T., Ren, J., Wang, Z., Zabalza, J., Sun, M., Zhao, H., Li, S., Benediktsson, J.A., Dai, Q., Marshall, S.,
Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis,
GeoRS(55), No. 1, January 2017, pp. 119-133.
IEEE DOI 1701
data acquisition BibRef

Al-Marzouqi, H.[Hasan], Al Regib, G.[Ghassan],
Curvelet transform with learning-based tiling,
SP:IC(53), No. 1, 2017, pp. 24-39.
Elsevier DOI 1703
Directional transforms BibRef


Kechichian, R., Amiot, C., Girard, C., Pescatore, J., Chanussot, J., Desvignes, M.,
Image denoising using contextual modeling of curvelet coefficients,
ICIP14(2659-2663)
IEEE DOI 1502
Hidden Markov models BibRef

Li, Y.[Ying], Ning, H.J.[Hui-Jun], Zhang, Y.N.[Yan-Ning], Feng, D.[David],
Nonlinear curvelet diffusion for noisy image enhancement,
ICIP11(2557-2560).
IEEE DOI 1201
BibRef

Wang, X.C.[Xin-Chun], Hong, M.[Ming], Yang, Y.F.[Yong-Feng],
Images de-noising with Mapshrink estimate and dual-threshold in Curvelet Domain,
IASP10(304-308).
IEEE DOI 1004
BibRef

Li, D.[Dan], Qian, J.S.[Jian-Sheng],
Research on image denoising new method based on curvelet transform,
IASP10(202-205).
IEEE DOI 1004
BibRef

Crosby, F.[Frank],
Curvelet decomposition for detection of cylindrical targets,
ICIP08(2832-2835).
IEEE DOI 0810
BibRef

Alecu, A.[Alin], Munteanu, A.[Adrian], Pižurica, A.[Aleksandra], Cornelis, J.P.H.[Jan P.H.], Schelkens, P.[Peter],
Analysis of the Statistical Dependencies in the Curvelet Domain and Applications in Image Compression,
ACIVS07(1061-1071).
Springer DOI 0708
BibRef

Alecu, A., Munteanu, A., Pizurica, A.[Aleksandra], Philips, W.[Wilfried], Cornelis, J.P.H., Schelkens, P.,
Information-Theoretic Analysis of Dependencies Between Curvelet Coefficients,
ICIP06(1617-1620).
IEEE DOI 0610
BibRef

Abrial, P., Starck, J.L., Moudden, Y., Nguyen, M.,
Curvelet Transform on the Sphere,
ICIP05(I: 737-740).
IEEE DOI 0512
See also Undecimated Wavelet Decomposition and its Reconstruction, The. BibRef

Do, M., Vetterli, M.,
Pyramidal Directional Filter Banks and Curvelets,
ICIP01(III: 158-161).
IEEE DOI 0108
BibRef

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


Last update:Nov 18, 2017 at 20:56:18