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1. Full Text Sparse multichannel blind deconvolution
by Kazemi, Nasser and Sacchi, Mauricio D
Geophysics, ISSN 0016-8033, 2013, Volume 79, Issue 5, pp. V143 - V152
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2. Digital imaging and deconvolution
: the ABCs of seismic exploration and processing
by Robinson, Enders A and Treitel, Sven
2008, Geophysical references series, ISBN 9781560801481, Volume no. 15, xxiii, 424
Seismic reflection method | Deconvolution | Seismic prospecting | Image processing | Digital techniques | Data processing | Prospecting | Mathematics | Optical pattern recognition | Petroleum
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3. Full Text Sparse multichannel blind deconvolution
by Kazemi, N and Sacchi, MD
GEOPHYSICS, ISSN 0016-8033, 09/2014, Volume 79, Issue 5, pp. V143 - V152
We developed a sparse multichannel blind deconvolution (SMBD) method. The method is a modification of the multichannel blind deconvolution technique often... 
WATER MARINE SEISMOLOGY | GEOCHEMISTRY & GEOPHYSICS | WAVELET ESTIMATION | HOMOMORPHIC DECONVOLUTION | ALGORITHM | SIGNALS | MINIMUM ENTROPY DECONVOLUTION | PHASE CORRECTION | REGULARIZATION | LEAST-SQUARES | PRINCIPLES
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4. Full Text Sparse Bayesian Learning-Based Time-Variant Deconvolution
by Sanyi Yuan and Shangxu Wang and Ming Ma and Yongzhen Ji and Li Deng
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 11/2017, Volume 55, Issue 11, pp. 6182 - 6194
In seismic exploration, the wavelet-filtering effect and Q-filtering (amplitude attenuation and velocity dispersion) effect blur the reflection image of... 
Earth | Time-frequency analysis | thin bed | Deconvolution | Convolution | sparse Bayesian learning (SBL) | sparse representations | Bayesian framework | inverse problems | Attenuation | Bayes methods | Dispersion | deconvolution | WAVELET ESTIMATION | REFLECTIVITY | CLASSIFICATION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | INVERSION | NONSTATIONARY DECONVOLUTION | ENGINEERING, ELECTRICAL & ELECTRONIC | GEOCHEMISTRY & GEOPHYSICS | REMOTE SENSING | ABSORPTION-COMPENSATION | Traveltime | Wave attenuation | Filtration | Methodology | Probability theory | Imaging techniques | Exploration | Seismic exploration | Remote sensing | Wavelet | Image quality | Artifacts | Reflectors | Clonal deletion | Seismograms | Capacity | Quality | Machine learning | Deletion | Regularization | Bayesian analysis | Reflectance
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5. Full Text Shearlet-Based Deconvolution
by Patel, V.M and Easley, G.R and Healy, D.M
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2009, Volume 18, Issue 12, pp. 2673 - 2685
In this paper, a new type of deconvolution algorithm is proposed that is based on estimating the image from a shearlet decomposition. Shearlets provide a... 
Performance evaluation | Noise reduction | generalized cross validation | Image restoration | Degradation | Deconvolution | shearlets | wavelets | Automatic control | Approximation error | Approximation algorithms | Cameras | Testing | Generalized cross validation | Wavelets | Shearlets | REGRESSION | IMAGE-RESTORATION | REPRESENTATIONS | ALGORITHM | DECOMPOSITION | GENERALIZED CROSS-VALIDATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | LINEAR INVERSE PROBLEMS | MODELS | TRANSFORM | WAVELET SHRINKAGE | Wavelet analysis | Usage | Research | Image processing | Noise control | Analysis | Studies | Algorithms | Mathematical analysis | Noise | Images | Estimating | Decomposition
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6. Full Text Multi-Wiener SURE-LET Deconvolution
by Feng Xue and Luisier, F and Blu, T
IEEE Transactions on Image Processing, ISSN 1057-7149, 05/2013, Volume 22, Issue 5, pp. 1954 - 1968
In this paper, we propose a novel deconvolution algorithm based on the minimization of a regularized Stein's unbiased risk estimate (SURE), which is a good... 
multi-Wiener filtering | Deconvolution | Gaussian noise | Noise reduction | stein's unbiased risk estimate (SURE) minimization | Transforms | Minimization | Vectors | Approximation methods | undecimated Haar-wavelet thresholding | IMAGE-RESTORATION | SCALE MIXTURES | ALGORITHM | REGULARIZATION PARAMETER | SPARSITY CONSTRAINT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | MINIMIZATION | ASTRONOMY | INVERSE PROBLEMS | WAVELET-DOMAIN | Stein's unbiased risk estimate (SURE) minimization | TRANSFORM | Wavelet transforms | Usage | Image processing | Innovations | Approximation theory | Mathematical optimization | Methods
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7. Full Text Multiridge Euler deconvolution
by Florio, Giovanni and Fedi, Maurizio
Geophysical Prospecting, ISSN 0016-8025, 03/2014, Volume 62, Issue 2, pp. 333 - 351
ABSTRACT Potential field interpretation can be carried out using multiscale methods. This class of methods analyses a multiscale data set, which is built by... 
Euler deconvolution | Potential fields | Multiscale methods | GEOCHEMISTRY & GEOPHYSICS | HOMOGENEITY | MAGNETIC DATA | ANALYTIC SIGNAL | STRUCTURAL INDEX | POTENTIAL FIELDS | 3 DIMENSIONS | IDENTIFICATION | CONTINUOUS WAVELET TRANSFORM | DEPTH | Methods | Deconvolution | Mathematical analysis | Derivatives | Differentiation | Ridges | Altitude
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8. Full Text Wavelet deconvolution
by Jianqing Fan and Ja-Yong Koo
IEEE Transactions on Information Theory, ISSN 0018-9448, 03/2002, Volume 48, Issue 3, pp. 734 - 747
This paper studies the issue of optimal deconvolution density estimation using wavelets. The approach taken here can be considered as orthogonal series... 
Wavelet transforms | Linear estimators | Wavelet bases | Kullback-Leibler information | Thresholding | Minimax estimation | Adaptive estimation | Besov spaces | REGRESSION | thresholding | DENSITY-ESTIMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | NONPARAMETRIC DECONVOLUTION | ENGINEERING, ELECTRICAL & ELECTRONIC | OPTIMAL RATES | LINEAR INVERSE PROBLEMS | wavelet bases | SHRINKAGE | linear estimators | CONVERGENCE | ERROR | adaptive estimation | minimax estimation | Kernels | Waveforms | Density functionals | Analysis | Wavelet | Deconvolution | Minimax technique | Convolution | Density | Estimators | Convergence
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9. Full Text Sparsity‐enhanced wavelet deconvolution
by Ferber, Ralf and Momoh, Ekeabino
Geophysical Prospecting, ISSN 0016-8025, 06/2018, Volume 66, Issue 5, pp. 1004 - 1018
ABSTRACT We propose a three‐step bandwidth enhancing wavelet deconvolution process, combining linear inverse filtering and non‐linear reflectivity construction... 
GEOCHEMISTRY & GEOPHYSICS | L1 NORM | Wavelet | Amplitude | Deconvolution | Filtration | Sparsity | Spectrum allocation | Unity | Bandwidths | Bandwidth | Data | Temperature (air-sea) | Reflectance
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10. Full Text Multiscale CLEAN Deconvolution of Radio Synthesis Images
by Cornwell, T.J
IEEE Journal of Selected Topics in Signal Processing, ISSN 1932-4553, 10/2008, Volume 2, Issue 5, pp. 793 - 801
Radio synthesis imaging is dependent upon deconvolution algorithms to counteract the sparse sampling of the Fourier plane. These deconvolution algorithms find... 
Deconvolution | Brightness | radio astronomy | Signal processing algorithms | Wavelet analysis | radio Interferometry | Entropy | Signal synthesis | Australia | Signal resolution | Image reconstruction | Convergence | Radio astronomy | Radio interferometry | RECONSTRUCTION | ALGORITHM | ENTROPY | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Synthesis | Images | Cleaning | Mathematical models | Radio | Sky brightness
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11. Full Text Richardson-Lucy blind deconvolution of spectroscopic data with wavelet regularization
by Liu, Hai and Zhang, Zhaoli and Liu, Sanya and Liu, Tingting and Yan, Luxin and Zhang, Tianxu
Applied Optics, ISSN 1559-128X, 03/2015, Volume 54, Issue 7, pp. 1770 - 1775
In this work, we introduce a blind deconvolution approach with wavelet regularization for the Raman spectrum and total variation regularization for instrument... 
FOURIER SELF-DECONVOLUTION | RESTORATION | SPECTRUM | OPTICS | REMOTE-SENSING IMAGES | ALGORITHM | Wavelet transforms | Raman spectroscopy | Poisson distribution | Analysis | Methods | Wavelet | Deconvolution | Computer simulation | Preserves | Feature extraction | Spectra | Blinds | Regularization
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12. Sparse multichannel blind deconvolution
by Kazemi, Nasser and Sacchi, Mauricio D
Geophysics, ISSN 0016-8033, 10/2014, Volume 79, Issue 5, pp. 143 - 152
We developed a sparse multichannel blind deconvolution (SMBD) method. The method is a modification of the multichannel blind deconvolution technique often... 
Wavelet | Deconvolution | Multichannel | Noise | Breaking | Mathematical analysis | Impulse response | Blinds
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13. Cascaded deconvolution filters
by Lines, Laurence R and Treitel, Sven
Journal of Seismic Exploration, ISSN 0963-0651, 12/2018, Volume 27, Issue 6, pp. 543 - 555
There are few seismic wavelets that have an exact inverse filter for deconvolution, but one of these is an exponentially damped sinusoid. As shown by Lines and... 
Seismic wavelets | Wiener filtering | Seismic deconvolution | seismic wavelets | GEOCHEMISTRY & GEOPHYSICS | seismic deconvolution
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14. Full Text Deconvolution in Astronomy: A Review
by J. L. Starck and E. Pantin and F. Murtagh
Publications of the Astronomical Society of the Pacific, ISSN 0004-6280, 10/2002, Volume 114, Issue 800, pp. 1051 - 1069
This article reviews different deconvolution methods. The all‐pervasive presence of noise is what makes deconvolution particularly difficult. The diversity of... 
Information retrieval noise | Image resolution | Astronomical objects | Hubble Space Telescope | Signal noise | Wavelet analysis | Fourier transformations | Entropy | Review | Pixels | Astronomy | MAXIMUM-ENTROPY | EDGE-DETECTION | IMAGE-RESTORATION | RECONSTRUCTION | ASTRONOMY & ASTROPHYSICS | ADAPTIVE OPTICS | RESOLUTION | WAVELET TRANSFORM | MU-M | REGULARIZATION | SPARSE SPIKE TRAINS
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15. Full Text Asymptotic normality for wavelet deconvolution density estimators
by Liu, Youming and Zeng, Xiaochen
Applied and Computational Harmonic Analysis, ISSN 1063-5203, 2018, Volume 48, Issue 1, pp. 321 - 342
This current paper shows the asymptotic normality for wavelet deconvolution density estimators, when a density function belongs to some L (R) (p>2) and the... 
Wavelet estimator | Deconvolution | Density function | Central limit theorem
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16. Full Text Multichannel Semi-blind Deconvolution (MSBD) of seismic signals
by Mirel, Merabi and Cohen, Israel
Signal Processing, ISSN 0165-1684, 06/2017, Volume 135, pp. 253 - 262
Seismic deconvolution is a general problem associated with recovering the reflectivity series from a seismic signal when the wavelet is known. In this paper,... 
Wavelet estimation | Sparse deconvolution | Semi-blind | Multichannel deconvolution | Reflectivity recovery | Seismic deconvolution | BASIS PURSUIT | DECOMPOSITION | INVERSION | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms | Machine learning
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17. Full Text Seismic deconvolution and inversion with erratic data
by Dai, Ronghuo and Yin, Cheng and Yang, Shasha and Zhang, Fanchang
Geophysical Prospecting, ISSN 0016-8025, 11/2018, Volume 66, Issue 9, pp. 1684 - 1701
ABSTRACT If there are some erratic data (e.g. outliers), which may arise from measurement error, or other reasons, in seismic data, the seismic deconvolution... 
Total variation | Inversion | Erratic data | Sparse signal representation | Seismic deconvolution | PRINCIPLE PHASE-DECOMPOSITION | SPARSE | ALGORITHMS | GEOCHEMISTRY & GEOPHYSICS | SHRINKAGE | GAS | AVO | IMPEDANCE INVERSION | Error analysis | Methodology | Wavelet | Deconvolution | Inverse problems | Robustness (mathematics) | Outliers (statistics) | Seismology | Seismic surveys | Constraint modelling | Seismic studies | Representations | Computing time | Regularization | Seismic data
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18. Full Text LOCALIZED SPHERICAL DECONVOLUTION
by Gérard Kerkyacharian and Thanh Mai Pham Ngoc and Dominique Picard
The Annals of Statistics, ISSN 0090-5364, 4/2011, Volume 39, Issue 2, pp. 1042 - 1068
We provide a new algorithm for the treatment of the deconvolution problem on the sphere which combines the traditional SVD inversion with an appropriate... 
Density estimation | Minimax | Inverse problems | Astrophysics | Astronomical objects | Threshing | Spherical harmonics | Fourier transformations | Estimators | Cosmic rays | INVERSE PROBLEMS | STATISTICS & PROBABILITY | second generation wavelets | Statistical inverse problems | NEEDLETS | minimax estimation | Statistics | Statistics Theory | Mathematics | 62G05 | 62G08 | 62G20 | 62G10
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19. Full Text A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution
by Vonesch, C and Unser, M
IEEE Transactions on Image Processing, ISSN 1057-7149, 04/2008, Volume 17, Issue 4, pp. 539 - 549
We present a fast variational deconvolution algorithm that minimizes a quadratic data term subject to a regularization on the -norm of the wavelet coefficients... 
Multidimensional systems | Flexible printed circuits | thresholding | ell^{1} -regularization | Fluorescence | Optical imaging | iterative | sparsity | 3-D | nonlinear | Computational complexity | fluorescence microscopy | Convergence | Wavelet coefficients | Deconvolution | Optical microscopy | fast | wavelets | Cost function | Wavelets | Nonlinear | Sparsity | Thresholding | regularization | Iterative | Fast | Fluorescence microscopy | l-regularization | IMAGE-RESTORATION | NOISE | MICROSCOPY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | deconvolution | LINEAR INVERSE PROBLEMS | AXIAL RESOLUTION | Reproducibility of Results | Algorithms | Information Storage and Retrieval - methods | Microscopy, Fluorescence - methods | Time Factors | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Imaging, Three-Dimensional - methods | Signal Processing, Computer-Assisted | Image Enhancement - methods | Studies | Wavelet | Microscopy | Data sets | Iterative methods | Optimization
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20. Full Text ForWaRD: Fourier-wavelet regularized deconvolution for ill-conditioned systems
by Neelamani, R and Hyeokho Choi and Baraniuk, R
IEEE Transactions on Signal Processing, ISSN 1053-587X, 02/2004, Volume 52, Issue 2, pp. 418 - 433
We propose an efficient, hybrid Fourier-wavelet regularized deconvolution (ForWaRD) algorithm that performs noise regularization via scalar shrinkage in both... 
Degradation | Deconvolution | Wavelet domain | AWGN | Convolution | Gaussian noise | Additive white noise | Cameras | Educational institutions | Colored noise | Deblurring | Wavelets | Wavelet-vaguelette | Restoration | deconvolution | Wavelet-Vaguelette | IMAGE-RESTORATION | SHRINKAGE | wavelets | INVERSE PROBLEMS | DECOMPOSITION | restoration | deblurring | ENGINEERING, ELECTRICAL & ELECTRONIC | Fourier transforms | Economics | Wavelet | Fourier analysis | Representations | Shrinkage | Regularization | Optimization
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