5.3.4.2 Iterative, Recursive, Restoration Techniques

Chapter Contents (Back)
Restoration. Iterative.

Schafer, R.W., Mersereau, R.M., Richards, M.A.,
Constrained Iterative Restoration Algorithms,
PIEEE(69), No. 4, April 1981, pp. 432-450. BibRef 8104

Trussell, H.J.,
Convergence Criteria for Iterative Restoration Methods,
ASSP(31), February 1983, pp. 125-136. BibRef 8302

Ramakrishna, R.S., Mullick, S.K., Rathore, R.K.S.,
A New Iterative Algorithm for Image Restoration,
CVGIP(30), No. 1, April 1985, pp. 47-55.
WWW Link. BibRef 8504

Liu, Z.Q., Gourishankar, V.G., Caelli, T.M.,
Adaptive iterative algorithm for image restoration,
IVC(6), No. 3, August 1988, pp. 151-161.
WWW Link. 0401
A modified observed image model which takes local statistical information into account. BibRef

Chalmond, B.[Bernard],
An Iterative Gibbsian Technique for Reconstruction of M-Ary Images,
PR(22), No. 6, 1989, pp. 747-761.
WWW Link. 0309
BibRef

Lagendijk, R.L.[Reginald L.], Biemond, J.[Jan],
Iterative Identification and Restoration of Images,
KluwerDecember 1990, ISBN 0-7923-9097-0.
WWW Link. BibRef 9012

Lay, K.T., Katsaggelos, A.K.,
Image identification and restoration based on the EM algorithm,
OptEng(29), No. 5, May 1990, pp. 436-445. BibRef 9005

Paik, J.K., Katsaggelos, A.K.,
Image restoration using a modified Hopfield network,
IP(1), No. 1, January 1992, pp. 49-63.
IEEE DOI 0402
BibRef

Nagy, J.G., Plemmons, R.J., Torgersen, T.C.,
Iterative Image Restoration Using Approximate Inverse Preconditioning,
IP(5), No. 7, July 1996, pp. 1151-1162.
IEEE DOI 9607
BibRef

Sanz, J.L.C., Huang, T.S.,
Iterative Time-Limited Signal Restoration,
ASSP(31), 1983, pp. 643-650. BibRef 8300

Acton, S.T.,
Image Restoration Using Generalized Deterministic Annealing,
DSP(7), No. 2, April 1997, pp. 94-104. 9706
BibRef

Dembele, D., Favier, G.,
Recursive Estimation of 4th-Order Cumulants with Application to Identification,
SP(68), No. 2, July 1998, pp. 127-139. 9809
BibRef

Fernandes, C.A.R.[Carlos Alexandre R.], Favier, G.[Gérard], Mota, J.C.M.[Joao Cesar M.],
Decision directed adaptive blind equalization based on the constant modulus algorithm,
SIViP(1), No. 4, October 2007, pp. 333-346.
Springer DOI 0711
BibRef

Robini, M.C., Rastello, T., Magnin, I.E.,
Simulated Annealing, Acceleration Techniques, and Image Restoration,
IP(8), No. 10, October 1999, pp. 1374-1387.
IEEE DOI BibRef 9910

Chang, Y.C.[Yuh-Chin], Kadaba, S.R., Doerschuk, P.C., Gelfand, S.B.,
Image restoration using recursive Markov random field models driven by Cauchy distributed noise,
SPLetters(8), No. 3, March 2001, pp. 65-66.
IEEE Top Reference. 0104
BibRef

Wu, C.H.[Chi-Hsin], Doerschuk, P.C.,
Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images,
ICIP95(II: 449-452).
IEEE DOI 9510
BibRef
Earlier:
Computation of Bayesian estimators for Markov random field image models using the cluster approximation,
ICIP94(III: 172-176).
IEEE DOI 9411
BibRef

Sroubek, F., Flusser, J.,
Multichannel blind iterative image restoration,
IP(12), No. 9, September 2003, pp. 1094-1106.
IEEE DOI 0308
BibRef

Sroubek, F., Flusser, J.,
Multichannel Blind Deconvolution of Spatially Misaligned Images,
IP(14), No. 7, July 2005, pp. 874-883.
IEEE DOI 0506
BibRef

Hou, Z., Koh, T.S.,
Image Denoising Using Robust Regression,
SPLetters(11), No. 2, February 2004, pp. 243-246.
IEEE Abstract. 0402
BibRef

Robinson, K.[Kevin], Whelan, P.F.[Paul F.],
Efficient Morphological Reconstruction: A Downhill Filter,
PRL(25), No. 15, November 2004, pp. 1759-1767.
WWW Link. 0411
BibRef

Ghita, O., Ilea, D.E., Whelan, P.F.,
Adaptive noise removal approach for restoration of digital images corrupted by multimodal noise,
IET-IPR(6), No. 8, 2012, pp. 1148-1160.
DOI Link 1302
BibRef

Guleryuz, O.G.,
Nonlinear Approximation Based Image Recovery Using Adaptive Sparse Reconstructions and Iterated Denoising-Part I: Theory,
IP(15), No. 3, March 2006, pp. 539-554.
IEEE DOI 0604
BibRef
Earlier:
Nonlinear approximation based image recovery using adaptive sparse reconstructions,
ICIP03(I: 713-716).
IEEE DOI 0312
BibRef

Guleryuz, O.G.,
Nonlinear Approximation Based Image Recovery Using Adaptive Sparse Reconstructions and Iterated Denoising-Part II: Adaptive Algorithms,
IP(15), No. 3, March 2006, pp. 555-571.
IEEE DOI 0604
BibRef

Guleryuz, O.G.,
Linear, Worst-Case Estimators for Denoising Quantization Noise in Transform Coded Images,
IP(15), No. 10, October 2006, pp. 2967-2986.
IEEE DOI 0609
BibRef

Guleryuz, O.G.,
Weighted Averaging for Denoising With Overcomplete Dictionaries,
IP(16), No. 12, December 2007, pp. 3020-3034.
IEEE DOI 0711
BibRef

Nagy, J.G., Kilmer, M.E.,
Kronecker Product Approximation for Preconditioning in Three-Dimensional Imaging Applications,
IP(15), No. 3, March 2006, pp. 604-613.
IEEE DOI 0604
Approximate matrices used in 3D vision. BibRef

Matson, C.L.[Charles L.], Haji, A.[Alim],
Biased Cramér-Rao lower bound calculations for inequality-constrained estimators,
JOSA-A(23), No. 11, November 2006, pp. 2702-2713.
WWW Link. 0801
BibRef

Chang, Q.S.[Qian-Shun], Yang, T.[Tong],
A Lattice Boltzmann Method for Image Denoising,
IP(18), No. 12, December 2009, pp. 2797-2802.
IEEE DOI 0912
BibRef

Pinchas, M.[Monika],
What are the analytical conditions for which a blind equalizer will loose the convergence state?,
SIViP(6), No. 2, June 2012, pp. 325-340.
WWW Link. 1205
BibRef

Tian, J.[Jing], Chen, L.[Li],
Image Noise Estimation Using A Variation-Adaptive Evolutionary Approach,
SPLetters(19), No. 7, July 2012, pp. 395-398.
IEEE DOI 1206
BibRef


Wu, H.[Hui], Souvenir, R.[Richard],
Robust regression on image manifolds for ordered label denoising,
CVPR15(305-313)
IEEE DOI 1510
BibRef

Liu, C.Z.[Chan-Zi], Chen, Q.C.[Qing-Chun],
QR Iterative Subspace Identification and Its Application in Image Denoising,
ICIG11(217-222).
IEEE DOI 1109
BibRef

Gomo, P.[Panganai],
PageRank Image Denoising,
ICIAR10(I: 1-10).
Springer DOI 1006
probabilistic denoising inspired by Google page-rank in search. BibRef

Xue, F.[Feng], Liu, Q.S.[Quan-Sheng], Fan, W.H.[Wei-Hong],
Iterative Image Restoration using a Non-Local Regularization Function and a Local Regularization Operator,
ICPR06(III: 766-769).
IEEE DOI 0609
BibRef

Ferreira, V.C., Mascarenhas, N.D.A.,
Analysis of the Robustness of Iterative Restoration Methods with Respect to Variations of the Point Spread Function,
ICIP00(Vol III: 789-792).
IEEE DOI 0008
BibRef

Muneyasu, M., Yamamoto, K., Hinamoto, T.,
Image restoration using layered neural networks and Hopfield networks,
ICIP95(II: 33-36).
IEEE DOI 9510
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Multiresolution, Hierarchical Restoration Techniques .


Last update:Mar 13, 2017 at 16:25:24