Maximum likelihood parametric blur identification based on a continuous spatial domain model

IEEE Transactions on Image Processing ◽

10.1109/83.199919 ◽

1992 ◽

Vol 1 (4) ◽

pp. 496-504 ◽

Author(s):

G. Pavlovic ◽

A.M. Tekalp

Keyword(s):

Maximum Likelihood ◽

Spatial Domain ◽

Domain Model ◽

Blur Identification

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Maximum likelihood parametric blur identification based on a continuous spatial domain model

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1991.150906 ◽

1991 ◽

Author(s):

G. Pavlovic ◽

A.M. Tekalp

Keyword(s):

Maximum Likelihood ◽

Spatial Domain ◽

Domain Model ◽

Blur Identification

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Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2008.920443 ◽

2008 ◽

Vol 56 (8) ◽

pp. 3765-3770 ◽

Author(s):

Visakan Kadirkamanathan ◽

Sean R. Anderson

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Domain Model ◽

Model Parameters ◽

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Newton type optimization for Maximum Likelihood blur identification and restoration

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5745463 ◽

2002 ◽

Author(s):

Faruk Sari

Keyword(s):

Maximum Likelihood ◽

Blur Identification

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Spatial-domain model observers for optimizing tomosynthesis Subok Park

Tomosynthesis Imaging ◽

10.1201/b16583-20 ◽

2016 ◽

pp. 165-176

Keyword(s):

Spatial Domain ◽

Domain Model ◽

Model Observers

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Modified frequency and spatial domain decomposition method based on maximum likelihood estimation

Engineering Structures ◽

10.1016/j.engstruct.2020.111007 ◽

2020 ◽

Vol 224 ◽

pp. 111007 ◽

Author(s):

Çağlayan Hızal

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Domain Decomposition ◽

Decomposition Method ◽

Domain Decomposition Method ◽

Likelihood Estimation ◽

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3D Gravity Analysis in the Spatial Domain: Model Simulation by Multiple Polygonal Cross-Sections Coupled with Exponential Density Contrast

Pure and Applied Geophysics ◽

10.1007/s00024-019-02103-9 ◽

2019 ◽

Vol 176 (6) ◽

pp. 2497-2511 ◽

Author(s):

K. Mallesh ◽

V. Chakravarthi ◽

B. Ramamma

Keyword(s):

Cross Sections ◽

Model Simulation ◽

Spatial Domain ◽

Domain Model ◽

Density Contrast ◽

Exponential Density ◽

Exponential Density Contrast

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Maximum likelihood blur identification and image restoration using the EM algorithm

IEEE Transactions on Signal Processing ◽

10.1109/78.80894 ◽

1991 ◽

Vol 39 (3) ◽

pp. 729-733 ◽

Author(s):

A.K. Katsaggelos ◽

K.T. Lay

Keyword(s):

Maximum Likelihood ◽

Em Algorithm ◽

Image Restoration ◽

The Em Algorithm ◽

Blur Identification

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Maximum-likelihood blur identification

10.1117/12.24150 ◽

1990 ◽

Author(s):

Reginald L. Lagendijk ◽

Jan Biemond

Keyword(s):

Maximum Likelihood ◽

Blur Identification

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Newton type optimization for maximum likelihood blur identification and restoration

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.1004724 ◽

2002 ◽

Author(s):

Sari

Keyword(s):

Maximum Likelihood ◽

Blur Identification

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Maximum likelihood image and blur identification: a unifying approach

Optical Engineering ◽

10.1117/12.55611 ◽

1990 ◽

Vol 29 (5) ◽

pp. 422 ◽

Author(s):

Jan Biemond

Keyword(s):

Maximum Likelihood ◽

Likelihood Image ◽

Maximum Likelihood Image ◽

Blur Identification

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