gital Image Restoration
暂无分享,去创建一个
[1] W. M. Carey,et al. Digital spectral analysis: with applications , 1986 .
[2] M. Nashed. Operator-theoretic and computational approaches to Ill-posed problems with applications to antenna theory , 1981 .
[3] P. L. Combettes,et al. Foundation of set theoretic estimation , 1993 .
[4] Robert M. Gray,et al. On the asymptotic eigenvalue distribution of Toeplitz matrices , 1972, IEEE Trans. Inf. Theory.
[5] A. M. Tekalp,et al. Iterative image restoration with ringing suppression using the method of POCS , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[6] R. Mersereau,et al. Iterative methods for image deblurring , 1990 .
[7] H. Joel Trussell,et al. Identification and restoration of spatially variant motion blurs in sequential images , 1992, IEEE Trans. Image Process..
[8] M. Ibrahim Sezan,et al. Hopfield-Type Neural Networks , 1991 .
[9] Michèle Basseville,et al. Modeling and estimation of multiresolution stochastic processes , 1992, IEEE Trans. Inf. Theory.
[10] Mostafa Kaveh,et al. A regularization approach to joint blur identification and image restoration , 1996, IEEE Trans. Image Process..
[11] Aggelos K. Katsaggelos,et al. Iterative deconvolution using several different distorted versions of an unknown signal , 1983, ICASSP.
[12] Reginald L. Lagendijk,et al. Identification and restoration of noisy blurred images using the expectation-maximization algorithm , 1990, IEEE Trans. Acoust. Speech Signal Process..
[13] Dan Schonfeld,et al. A new stochastic projection-based image recovery method , 1995, Proceedings., International Conference on Image Processing.
[14] Aggelos K. Katsaggelos,et al. Noise reduction filters for dynamic image sequences: a review , 1995, Proc. IEEE.
[15] Edward S. Meinel,et al. Origins of linear and nonlinear recursive restoration algorithms , 1986 .
[16] Russell M. Mersereau,et al. Blur identification by the method of generalized cross-validation , 1992, IEEE Trans. Image Process..
[17] R. Mersereau,et al. Nonstationary iterative image restoration , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[18] F. O. Huck,et al. Multiresolution image gathering and restoration , 1992, J. Vis. Commun. Image Represent..
[19] B. Hunt. A matrix theory proof of the discrete convolution theorem , 1971 .
[20] Aggelos K. Katsaggelos,et al. Vlsi Architectures for Iterative Image Restoration , 1992, J. Circuits Syst. Comput..
[21] B. K. Jenkins,et al. Image restoration using a neural network , 1988, IEEE Trans. Acoust. Speech Signal Process..
[22] A general formulation of constrained iterative restoration algorithms , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[23] Nikolas P. Galatsanos,et al. Multichannel restoration of single channel images using a wavelet-based subband decomposition , 1994, IEEE Trans. Image Process..
[24] Aggelos K. Katsaggelos,et al. Image and video compression algorithms based on recovery techniques using mean field annealing , 1995, Proc. IEEE.
[25] Simultaneous recursive displacement estimation and restoration of noisy-blurred image sequences , 1995, IEEE Trans. Image Process..
[26] L. Lucy. An iterative technique for the rectification of observed distributions , 1974 .
[27] Robert L. Stevenson,et al. Improved image decompression for reduced transform coding artifacts , 1994, Electronic Imaging.
[28] Stéphane Mallat,et al. Multifrequency channel decompositions of images and wavelet models , 1989, IEEE Trans. Acoust. Speech Signal Process..
[29] U. B. Desai,et al. Image restoration using a multilayer perceptron with a multilevel sigmoidal function , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.
[30] Aggelos K. Katsaggelos,et al. Adaptive Regularized Restoration Algorithms Applied to HST Images , 1994 .
[31] Deepa Kundur,et al. Blind image deconvolution revisited , 1996 .
[32] Hamid Soltanian-Zadeh,et al. A multidimensional nonlinear edge-preserving filter for magnetic resonance image restoration , 1995, IEEE Trans. Image Process..
[33] Aggelos K. Katsaggelos,et al. Image identification and restoration based on the expectation-maximization algorithm , 1990 .
[34] A. Murat Tekalp,et al. Edge-adaptive Kalman filtering for image restoration with ringing suppression , 1989, IEEE Trans. Acoust. Speech Signal Process..
[35] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Aggelos K. Katsaggelos. A multiple input image restoration approach , 1990, J. Vis. Commun. Image Represent..
[37] Alexander A. Sawchuk,et al. Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] 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..
[39] Aggelos K. Katsaggelos,et al. Simultaneous iterative image restoration and evaluation of the regularization parameter , 1992, IEEE Trans. Signal Process..
[40] R. Mersereau,et al. Optimal estimation of the regularization parameter and stabilizing functional for regularized image restoration , 1990 .
[41] Aggelos K. Katsaggelos,et al. Spatially adaptive iterative algorithm for the restoration of astronomical images , 1995, Int. J. Imaging Syst. Technol..
[42] Aggelos K. Katsaggelos,et al. Frequency-domain adaptive iterative image restoration and evaluation of the regularization parameter , 1994 .
[43] J. Woods,et al. Kalman filtering in two dimensions: Further results , 1981 .
[44] Andreas E. Savakis,et al. Blur identification by residual spectral matching , 1993, IEEE Trans. Image Process..
[45] Aggelos K. Katsaggelos,et al. Multichannel regularized iterative restoration of image sequences , 1993, Other Conferences.
[46] N. Weir,et al. Applications of Maximum Entropy Techniques to HST Data , 1991 .
[47] Roland Wilson,et al. Least-squares image estimation on a multiresolution pyramid , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[48] Stephen K. Park,et al. Incomplete system models can cause image restoration failures , 1995, Defense, Security, and Sensing.
[49] Reginald L. Lagendijk,et al. Regularized iterative image restoration with ringing reduction , 1988, IEEE Trans. Acoust. Speech Signal Process..
[50] M. Ibrahim Sezan,et al. Survey of recent developments in digital image restoration. , 1990 .
[51] Arun N. Netravali,et al. Digital Pictures: Representation and Compression , 1988 .
[52] Rabab Kreidieh Ward. Restoration of differently blurred versions of an image with measurement errors in the PSF's , 1993, IEEE Trans. Image Process..
[53] B. R. Hunt,et al. Digital Image Restoration , 1977 .
[54] Aggelos K. Katsaggelos,et al. A regularized iterative image restoration algorithm , 1991, IEEE Trans. Signal Process..
[55] José M. N. Leitão,et al. Sequential and parallel image restoration: neural network implementations , 1994, IEEE Trans. Image Process..
[56] Nikolas P. Galatsanos,et al. Digital restoration of multichannel images , 1989, IEEE Trans. Acoust. Speech Signal Process..
[57] Rafael Molina,et al. On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[58] W. Clem Karl,et al. Multiscale representations of Markov random fields , 1993, IEEE Trans. Signal Process..
[59] JOHN w. WOODS,et al. Kalman filtering in two dimensions , 1977, IEEE Trans. Inf. Theory.
[60] Stéphane Mallat,et al. Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.
[61] C. H. Slump. Real-time image restoration in diagnostic X-ray imaging, the effects on quantum noise , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[62] R.W. Schafer,et al. Constrained iterative restoration algorithms , 1981, Proceedings of the IEEE.
[63] Nikolas P. Galatsanos,et al. Regularized constrained total least-squares image restoration , 1994, Other Conferences.
[64] A.K. Katsaggelos,et al. A general framework for frequency domain multi-channel signal processing , 1993, IEEE Trans. Image Process..
[65] M. Ibrahim Sezan,et al. Prototype image constraints for set-theoretic image restoration , 1991, IEEE Trans. Signal Process..
[66] Michel Barlaud,et al. Noisy image restoration using multiresolution markov random fields , 1992, J. Vis. Commun. Image Represent..
[67] Edward H. Adelson,et al. Shiftable multiscale transforms , 1992, IEEE Trans. Inf. Theory.
[68] C. K. Yuen,et al. Digital spectral analysis , 1979 .
[69] J. M. Nightingale,et al. Maximum image restoration in nuclear medicine , 1990 .
[70] Jean-Luc Starck,et al. Filtering and deconvolution by the wavelet transform , 1994, Signal Process..
[71] A Leon-Garcia,et al. Information loss recovery for block-based image coding techniques-a fuzzy logic approach , 1995, IEEE Trans. Image Process..
[72] Aggelos K. Katsaggelos,et al. Single and multistep iterative image restoration and VLSI implementation , 1988 .
[73] B. R. Hunt,et al. The Application of Constrained Least Squares Estimation to Image Restoration by Digital Computer , 1973, IEEE Transactions on Computers.
[74] Aggelos K. Katsaggelos,et al. Improving autoradiograph resolution using image restoration techniques , 1994 .
[75] Michel Barlaud,et al. Image restoration using biorthogonal wavelet transform , 1990, Other Conferences.
[76] Aggelos K. Katsaggelos,et al. General choice of the regularization functional in regularized image restoration , 1995, IEEE Trans. Image Process..
[77] Aggelos K. Katsaggelos,et al. Iterative Image Restoration Algorithms , 1989 .
[78] Nikolas P. Galatsanos,et al. Least squares restoration of multichannel images , 1991, IEEE Trans. Signal Process..
[79] Nikolas P. Galatsanos,et al. Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images , 1993, IEEE Trans. Circuits Syst. Video Technol..
[80] Aggelos K. Katsaggelos,et al. Image restoration using a modified Hopfield network , 1992, IEEE Trans. Image Process..
[81] A. Murat Tekalp,et al. Efficient multiframe Wiener restoration of blurred and noisy image sequences , 1992, IEEE Trans. Image Process..
[82] A. M. Tekalp,et al. Maximum likelihood parametric blur identification based on a continuous spatial domain model , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.
[83] Avideh Zakhor,et al. Halftone to continuous-tone conversion of error-diffusion coded images , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[84] K. Miller. Least Squares Methods for Ill-Posed Problems with a Prescribed Bound , 1970 .
[85] C. Charalambous,et al. Two iterative image restoration algorithms with applications to nuclear medicine , 1991, 1991., IEEE International Sympoisum on Circuits and Systems.
[86] H. Trussell,et al. The feasible solution in signal restoration , 1984 .
[87] Aggelos K. Katsaggelos,et al. Spatially adaptive wavelet-based multiscale image restoration , 1996, IEEE Trans. Image Process..
[88] R. Wilson,et al. Anisotropic Nonstationary Image Estimation and Its Applications: Part I - Restoration of Noisy Images , 1983, IEEE Transactions on Communications.
[89] Aggelos K. Katsaggelos,et al. A class of robust entropic functionals for image restoration , 1995, IEEE Trans. Image Process..
[90] Richard L. White,et al. Image restoration using the damped Richardson-Lucy method , 1994, Astronomical Telescopes and Instrumentation.
[91] Z. K. Liu,et al. Restoration of blurred TV picture caused by uniform linear motion , 1988, Comput. Vis. Graph. Image Process..
[92] Wesley E. Snyder,et al. Quantitative angiography using mean field annealing , 1992, Proceedings Computers in Cardiology.
[93] Aggelos K. Katsaggelos,et al. GENERAL FORMULATION OF ADAPTIVE ITERATIVE IMAGE RESTORATION ALGORITHMS. , 1986 .
[94] John W. Woods,et al. Compound Gauss-Markov random fields for image estimation , 1991, IEEE Trans. Signal Process..
[95] Aggelos K. Katsaggelos,et al. Image sequence filtering in quantum-limited noise with applications to low-dose fluoroscopy , 1993, IEEE Trans. Medical Imaging.
[96] Aggelos K. Katsaggelos,et al. Iterative restoration of fast‐moving objects in dynamic image sequences , 1996 .
[97] Deepa Kundur,et al. Blind Image Deconvolution , 2001 .
[98] Rama Chellappa,et al. A VLSI neuroprocessor for image restoration using analog computing-based systolic architecture , 1993, J. VLSI Signal Process..
[99] Berkman Sahiner,et al. Image reconstruction from projections under wavelet constraints , 1993, IEEE Trans. Signal Process..
[100] Stanley J. Reeves,et al. Optimal space-varying regularization in iterative image restoration , 1994, IEEE Trans. Image Process..
[101] Nikolas P. Galatsanos,et al. Projection-based spatially adaptive reconstruction of block-transform compressed images , 1995, IEEE Trans. Image Process..
[102] Aggelos K. Katsaggelos,et al. Super-exponential method for blur identification and image restoration , 1994, Other Conferences.
[103] Yoram Bresler,et al. Efficient algorithms for the blind recovery of images blurred by multiple filters , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[104] William H. Richardson,et al. Bayesian-Based Iterative Method of Image Restoration , 1972 .
[105] James G. Nagy,et al. Iterative image restoration using approximate inverse preconditioning , 1996, IEEE Trans. Image Process..
[106] Joseph W. Goodman,et al. Introduction to Fourier Optics; Second Edition , 1996 .
[107] Fure-Ching Jeng,et al. Inhomogeneous Gaussian image models for estimation and restoration , 1988, IEEE Trans. Acoust. Speech Signal Process..
[108] Stéphane Mallat,et al. Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..
[109] A. Murat Tekalp,et al. POCS-based restoration of space-varying blurred images , 1994, IEEE Trans. Image Process..
[110] Roberto Manduchi,et al. Spectral characteristics and motion-compensated restoration of composite frames , 1995, IEEE Trans. Image Process..