Blind Image Deconvolution: Problem formulation and existing approaches

[1]  Aggelos K. Katsaggelos,et al.  Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation , 2006, IEEE Transactions on Image Processing.

[2]  Tom E. Bishop,et al.  Blind Image Restoration Using a Block-Stationary Signal Model , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[3]  José M. Bioucas-Dias,et al.  Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[4]  Tony F. Chan,et al.  Image processing and analysis - variational, PDE, wavelet, and stochastic methods , 2005 .

[5]  Jan Flusser,et al.  Multichannel blind deconvolution of spatially misaligned images , 2005, IEEE Transactions on Image Processing.

[6]  Li Chen,et al.  A soft double regularization approach to parametric blind image deconvolution , 2005, IEEE Transactions on Image Processing.

[7]  Shmuel Peleg,et al.  Two motion-blurred images are better than one , 2005, Pattern Recognit. Lett..

[8]  Oleg V. Michailovich,et al.  A novel approach to the 2-D blind deconvolution problem in medical ultrasound , 2005, IEEE Transactions on Medical Imaging.

[9]  D. O’Leary,et al.  Implementation of the regularized structured total least squares algorithms for blind image deblurring , 2004 .

[10]  Nikolas P. Galatsanos,et al.  A variational approach for Bayesian blind image deconvolution , 2004, IEEE Transactions on Signal Processing.

[11]  Michael I. Jordan,et al.  An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.

[12]  Nando de Freitas,et al.  An Introduction to MCMC for Machine Learning , 2004, Machine Learning.

[13]  Patrizio Campisi,et al.  Multichannel blind image deconvolution using the Bussgang algorithm: spatial and multiresolution approaches , 2003, IEEE Trans. Image Process..

[14]  Jan Flusser,et al.  Multichannel blind iterative image restoration , 2003, IEEE Trans. Image Process..

[15]  Aggelos K. Katsaggelos,et al.  A VQ-based blind image restoration algorithm , 2003, IEEE Trans. Image Process..

[16]  Aggelos K. Katsaggelos,et al.  High-resolution images from low-resolution compressed video , 2003, IEEE Signal Process. Mag..

[17]  A. Ben Hamza,et al.  Unifying probabilistic and variational estimation , 2002, IEEE Signal Process. Mag..

[18]  Nikolas P. Galatsanos,et al.  Hyperparameter estimation in image restoration problems with partially known blurs , 2002 .

[19]  Patrizio Campisi,et al.  A multiresolution approach for texture synthesis using the circular harmonic functions , 2002, IEEE Trans. Image Process..

[20]  Hung-Ta Pai,et al.  On eigenstructure-based direct multichannel blind image restoration , 2001, IEEE Trans. Image Process..

[21]  Tony F. Chan,et al.  The digital TV filter and nonlinear denoising , 2001, IEEE Trans. Image Process..

[22]  Nikolas P. Galatsanos,et al.  Hierarchical Bayesian image restoration from partially known blurs , 2000, IEEE Trans. Image Process..

[23]  Michael K. Ng,et al.  Regularization of RIF blind image deconvolution , 2000, IEEE Trans. Image Process..

[24]  Robert W. Heath,et al.  Blurs and perfect image restoration , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[25]  Nikolas P. Galatsanos,et al.  Multi-channel Image Recovery , 2000 .

[26]  B.D. Jeffs,et al.  Blind multiframe point source image restoration using MAP estimation , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[27]  Subhasis Chaudhuri,et al.  MRF model-based identification of shift-variant point spread function for a class of imaging systems , 1999, Signal Process..

[28]  Jonathon A. Chambers,et al.  An enhanced NAS-RIF algorithm for blind image deconvolution , 1999, IEEE Trans. Image Process..

[29]  G Harikumar,et al.  Exact image deconvolution from multiple FIR blurs , 1999, IEEE Trans. Image Process..

[30]  Gene H. Golub,et al.  A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration , 1999, SIAM J. Sci. Comput..

[31]  Mostafa Kaveh,et al.  Blind image restoration by anisotropic regularization , 1999, IEEE Trans. Image Process..

[32]  Yoram Bresler,et al.  Perfect blind restoration of images blurred by multiple filters: theory and efficient algorithms , 1999, IEEE Trans. Image Process..

[33]  Aggelos K. Katsaggelos,et al.  Bayesian and regularization methods for hyperparameter estimation in image restoration , 1999, IEEE Trans. Image Process..

[34]  Mario Bertero,et al.  Introduction to Inverse Problems in Imaging , 1998 .

[35]  Michael W. Marcellin,et al.  Blur identification from vector quantizer encoder distortion , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[36]  Subhasis Chaudhuri,et al.  A recursive algorithm for maximum likelihood-based identification of blur from multiple observations , 1998, IEEE Trans. Image Process..

[37]  Hung-Ta Pai,et al.  Generically sufficient conditions for exact multichannel blind image restoration , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[38]  Tony F. Chan,et al.  Total variation blind deconvolution , 1998, IEEE Trans. Image Process..

[39]  Deepa Kundur,et al.  A novel blind deconvolution scheme for image restoration using recursive filtering , 1998, IEEE Trans. Signal Process..

[40]  Aggelos K. Katsaggelos,et al.  Digital image restoration , 2012, IEEE Signal Process. Mag..

[41]  Hung-Ta Pai,et al.  Exact multichannel blind image restoration , 1997, IEEE Signal Processing Letters.

[42]  Joachim Weickert,et al.  A Review of Nonlinear Diffusion Filtering , 1997, Scale-Space.

[43]  H. P. Lee,et al.  Blind restoration of images degraded by space-variant blurs using iterative algorithms for both blur identification and image restoration , 1997, Image Vis. Comput..

[44]  Aggelos K. Katsaggelos,et al.  A Bayesian approach to blind deconvolution based on Dirichlet distributions , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[45]  P. Lions,et al.  Image recovery via total variation minimization and related problems , 1997 .

[46]  Deepa Kundur,et al.  Blind image deconvolution revisited , 1996 .

[47]  Wenyuan Xu,et al.  Behavioral analysis of anisotropic diffusion in image processing , 1996, IEEE Trans. Image Process..

[48]  Robert L. Stevenson,et al.  Extraction of high-resolution frames from video sequences , 1996, IEEE Trans. Image Process..

[49]  Deepa Kundur,et al.  Blind Image Deconvolution , 2001 .

[50]  Mostafa Kaveh,et al.  A regularization approach to joint blur identification and image restoration , 1996, IEEE Trans. Image Process..

[51]  K. Riedel Numerical Bayesian Methods Applied to Signal Processing , 1996 .

[52]  M. Kaveh,et al.  Ringing reduction in image restoration by orientation-selective regularization , 1996, IEEE Signal Processing Letters.

[53]  Curtis R. Vogel,et al.  Iterative Methods for Total Variation Denoising , 1996, SIAM J. Sci. Comput..

[54]  David B. Dunson,et al.  Bayesian Data Analysis , 2010 .

[55]  Nikolas P. Galatsanos,et al.  Regularized constrained total least-squares image restoration , 1994, Other Conferences.

[56]  Donald Geman,et al.  Nonlinear image recovery with half-quadratic regularization , 1995, IEEE Trans. Image Process..

[57]  Aggelos K. Katsaggelos,et al.  General choice of the regularization functional in regularized image restoration , 1995, IEEE Trans. Image Process..

[58]  J. Krist Simulation of HST PSFs using Tiny Tim , 1995 .

[59]  David Mackay,et al.  Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks , 1995 .

[60]  Rafael Molina,et al.  On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[61]  Aggelos K. Katsaggelos,et al.  Multichannel image identification and restoration using the expectation-maximization algorithm , 1994, Optics & Photonics.

[62]  Nikolas P. Galatsanos,et al.  Projection-based blind deconvolution , 1994 .

[63]  Shigeru Ando,et al.  Blind superresolving image recovery from blur-invariant edges , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[64]  F. Tsumuraya,et al.  Iterative blind deconvolution method using Lucy's algorithm , 1994 .

[65]  A.K. Katsaggelos,et al.  A general framework for frequency domain multi-channel signal processing , 1993, IEEE Trans. Image Process..

[66]  Ken D. Sauer,et al.  A generalized Gaussian image model for edge-preserving MAP estimation , 1993, IEEE Trans. Image Process..

[67]  Timothy J. Schulz,et al.  Multiframe blind deconvolution of astronomical images , 1993 .

[68]  Jun Zhang,et al.  The mean field theory in EM procedures for blind Markov random field image restoration , 1993, IEEE Trans. Image Process..

[69]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[70]  Richard G. Lane,et al.  Blind deconvolution of speckle images , 1992 .

[71]  Nikolas P. Galatsanos,et al.  Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation , 1992, IEEE Trans. Image Process..

[72]  Russell M. Mersereau,et al.  Blur identification by the method of generalized cross-validation , 1992, IEEE Trans. Image Process..

[73]  Naoshi Baba,et al.  Extended-object reconstruction with sequential use of the iterative blind deconvolution method , 1992 .

[74]  Donald Geman,et al.  Constrained Restoration and the Recovery of Discontinuities , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[75]  S. Gibson,et al.  Experimental test of an analytical model of aberration in an oil-immersion objective lens used in three-dimensional light microscopy. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[76]  M. Roggemann Limited degree-of-freedom adaptive optics and image reconstruction. , 1991, Applied Optics.

[77]  A. Murat Tekalp,et al.  Blur identification using the bispectrum , 1991, IEEE Trans. Signal Process..

[78]  A. Murat Tekalp,et al.  Identification of a class of space-variant image blurs , 1991, Electronic Imaging.

[79]  Reginald L. Lagendijk,et al.  Block-adaptive image identification and restoration , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[80]  Aggelos K. Katsaggelos,et al.  A regularized iterative image restoration algorithm , 1991, IEEE Trans. Signal Process..

[81]  John W. Woods,et al.  Compound Gauss-Markov random fields for image estimation , 1991, IEEE Trans. Signal Process..

[82]  Aggelos K. Katsaggelos,et al.  Maximum likelihood blur identification and image restoration using the EM algorithm , 1991, IEEE Trans. Signal Process..

[83]  Aggelos K. Katsaggelos,et al.  Maximum Likelihood Identification and Restoration of Images Using the Expectation-Maximization Algorithm , 1991 .

[84]  Aggelos K. Katsaggelos,et al.  Adaptive iterative image restoration with reduced computational load , 1990 .

[85]  Hai-Shan Wu Minimum entropy deconvolution for restoration of blurred two-tone images , 1990 .

[86]  Hsien-Che Lee Review of image-blur models in a photographic system using the principles of optics , 1990 .

[87]  R. Mersereau,et al.  Optimal estimation of the regularization parameter and stabilizing functional for regularized image restoration , 1990 .

[88]  Aggelos K. Katsaggelos,et al.  Image identification and restoration based on the expectation-maximization algorithm , 1990 .

[89]  B. C. McCallum Blind deconvolution by simulated annealing , 1990 .

[90]  Reginald L. Lagendijk,et al.  Identification and restoration of noisy blurred images using the expectation-maximization algorithm , 1990, IEEE Trans. Acoust. Speech Signal Process..

[91]  C. J. Kotre,et al.  Veiling glare deconvolution of images produced by X-ray image intensifiers , 1989 .

[92]  Reginald L. Lagendijk,et al.  Blur identification using the expectation-maximization algorithm , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[93]  B. Ripley,et al.  Using spatial models as priors in astronomical image analysis , 1989 .

[94]  Reginald L. Lagendijk,et al.  Regularized iterative image restoration with ringing reduction , 1988, IEEE Trans. Acoust. Speech Signal Process..

[95]  J. C. Dainty,et al.  Iterative blind deconvolution method and its applications , 1988 .

[96]  J. Berger Statistical Decision Theory and Bayesian Analysis , 1988 .

[97]  Richard Barakat,et al.  Partial atmospheric correction with adaptive optics , 1987 .

[98]  Richard G. Lane,et al.  Automatic multidimensional deconvolution , 1987 .

[99]  Haluk Derin,et al.  Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[100]  J. Besag On the Statistical Analysis of Dirty Pictures , 1986 .

[101]  Howard Kaufman,et al.  Identification of image and blur parameters for the restoration of noncausal blurs , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[102]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[103]  R. Wiggins Minimum entropy deconvolution , 1978 .

[104]  M. Cannon Blind deconvolution of spatially invariant image blurs with phase , 1976 .

[105]  T. M. Cannon,et al.  Blind deconvolution through digital signal processing , 1975, Proceedings of the IEEE.

[106]  A. Moffat A Theoretical Investigation of Focal Stellar Images in the Photographic Emulsion and Application to Photographic Photometry , 1969 .

[107]  Howard Raiffa,et al.  Applied Statistical Decision Theory. , 1961 .

[108]  S. Kullback Information Theory and Statistics , 1959 .