5.3.6 Maximum Entropy in Restoration

Chapter Contents (Back)
Restoration. Entropy.

Wernecke, S.J., and d'Addario, L.R.,
Maximum Entropy Image Reconstruction,
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Smith, C.B.,
A Dual Method for Maximum Entropy Restoration,
PAMI(1), No. 4, October 1979, 411-414. BibRef 7910

Jaynes, E.T.,
On the Rationale of Maximum Entropy Methods,
PIEEE(70), No. 9, September 1982, pp. 939-952. BibRef 8209

Burch, S.F., Gull, S.F., Skilling, J.,
Image Restoration by a Powerful Maximum Entropy Method,
CVGIP(23), No. 2, August 1983, pp. 113-128.
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Sharma, G., Chellappa, R.,
A Model-Based Approach for Estimation of Two Dimensional Maximum Entropy Power Spectra,
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Haralick, R.M., Zhuang, X., and Ostevold, E.,
A Differential Equation Approach to Maximum Entropy Image Reconstruction,
ASSP(35), No. 2, February, 1987, pp. 208-218. BibRef 8702

Haralick, R.M., Zhuang, X., and Zhao, Y.,
Maximum Entropy Image Reconstruction,
TSP(39), No. 6, June, 1991, pp. 1478-1480. BibRef 9106

Haralick, R.M., Rystrom, L.R.[Larry R.], and Katz, P.L.[Philip L.],
Optimal Single-Stage Restoration of Subtractive Noise Corrupted Images by a Morphological Closing,
JEI(4), No. 3, July 1995, pp. 283-297. BibRef 9507

Myrheim, J.[Jan], Rue, H.[Haavard],
New Algorithms for Maximum Entropy Image Restoration,
GMIP(54), No. 3, May 1992, pp. 223-238. BibRef 9205

Byrne, C.L.,
Iterative image reconstruction algorithms based on cross-entropy minimization,
IP(2), No. 1, January 1993, pp. 96-103.
IEEE DOI 0402
BibRef

Zervakis, M.E., Katsaggelos, A.K., Kwon, T.M.,
A class of robust entropic functionals for image restoration,
IP(4), No. 6, June 1995, pp. 752-773.
IEEE DOI 0402
BibRef

Battle, D.J., Harrison, R.P., Hedley, M.,
Maximum-Entropy Image-Reconstruction from Sparsely Sampled Coherent Field Data,
IP(6), No. 8, August 1997, pp. 1139-1147.
IEEE DOI 9708
BibRef

Cao, Y., Eggermont, P.P.B., Terebey, S.,
Cross Burg Entropy Maximization and Its Application to Ringing Suppression in Image Reconstruction,
IP(8), No. 2, February 1999, pp. 286-292.
IEEE DOI BibRef 9902

Bouzouba, K., Radouane, L.,
Image identification and estimation using the maximum entropy principle,
PRL(21), No. 6-7, June 2000, pp. 691-700. 0006
BibRef

Hong, H., Schonfeld, D.,
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation,
IP(17), No. 6, June 2008, pp. 897-907.
IEEE DOI 0711
BibRef

Hong, H., Schonfeld, D.,
Attraction-Repulsion Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation,
IP(18), No. 9, September 2009, pp. 2004-2011.
IEEE DOI 0909
BibRef

Shioya, H.[Hiroyuki], Gohara, K.[Kazutoshi],
Maximum entropy method for diffractive imaging,
JOSA-A(25), No. 11, November 2008, pp. 2846-2850.
DOI Link 0811
BibRef

Shioya, H.[Hiroyuki], Maehara, Y.[Yosuke], Gohara, K.[Kazutoshi],
Spherical shell structure of distribution of images reconstructed by diffractive imaging,
JOSA-A(27), No. 5, May 2010, pp. 1214-1218.
DOI Link 1006
BibRef

Zhao, J., Zhang, H.,
Kernel Recursive Generalized Maximum Correntropy,
SPLetters(24), No. 12, December 2017, pp. 1832-1836.
IEEE DOI 1712
maximum entropy methods, recursive estimation, dynamic recursive weight coefficients, recursive BibRef

Mary, P.D.G.[P.D. Geona], Madathil, B.[Baburaj], George, S.N.[Sudhish N.],
Entropy-Based Reweighted Tensor Completion Technique for Video Recovery,
CirSysVideo(30), No. 2, February 2020, pp. 415-426.
IEEE DOI 2002
Entropy, Minimization, Matrix decomposition, Random variables, Low rank recovery, sparsity enhancement, tensor completion, entropy minimisation BibRef

Zhu, Y., Chen, Q., Li, Y., Zhang, Y., Zhu, Y.,
Frequency-Domain Entropy-Based Blind Support Recovery from Multiple Measurement Vectors,
SPLetters(27), 2020, pp. 980-984.
IEEE DOI 2007
Signal processing algorithms, Entropy, Sparse matrices, Matching pursuit algorithms, Frequency-domain analysis, frequency-domain entropy BibRef

Yu, S.J.[Shu-Jian], Giraldo, L.G.S.[Luis Gonzalo Sánchez], Jenssen, R.[Robert], Príncipe, J.C.[José C.],
Multivariate Extension of Matrix-Based Rényi's alpha-Order Entropy Functional,
PAMI(42), No. 11, November 2020, pp. 2960-2966.
IEEE DOI 2010
Entropy, Mutual information, Kernel, Estimation, Probability density function, Machine learning, feature selection BibRef

Martí, A.[Aniol], de Cabrera, F.[Ferran], Riba, J.[Jaume],
On the Estimation of Tsallis Entropy and a Novel Information Measure Based on Its Properties,
SPLetters(30), 2023, pp. 818-822.
IEEE DOI 2307
Entropy, Random variables, Estimation, Kernel, Pollution measurement, AWGN, Contamination, Entropy estimation, Gaussian convolutions, U-statistics BibRef

Lopez, C.A.[Carlos Alejandro], de Cabrera, F.[Ferran], Riba, J.[Jaume],
Minimum Error Entropy Estimation Under Contaminated Gaussian Noise,
SPLetters(30), 2023, pp. 1457-1461.
IEEE DOI 2310
BibRef


Fattahi, L.E., Lakhdar, Y., Sbai, E.H.,
Clustering based on density estimation using variable kernel and maximum entropy principle,
ISCV17(1-7)
IEEE DOI 1710
Bandwidth, Classification algorithms, Clustering algorithms, Entropy, Estimation, Kernel, Principal component analysis, Maximum Entropy Principle (MEP), clustering, density peak, principal components analysis (PCA), variable, kernel, density BibRef

Willis, M., Jeffs, B., Long, D.,
Maximum Entropy Image Restoration Revisited,
ICIP00(Vol I: 89-92).
IEEE DOI 0008
BibRef

Buhmann, J.M., Hofmann, T.,
A maximum entropy approach to pairwise data clustering,
ICPR94(B:207-212).
IEEE DOI 9410
BibRef

Taxt, T.,
Maximum entropy restoration of multispectral images using a deterministic quantum field model,
ICPR92(II:376-380).
IEEE DOI 9208
BibRef

Zhuang, X., Haralick, R.M.,
A neural net algorithm for maximum entropy image reconstruction,
ICPR90(II: 47-50).
IEEE DOI 9208
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Minimum Entropy in Restoration .


Last update:Mar 16, 2024 at 20:36:19