5.3.1 Image Restoration -- General, Survey, Evaluations

Chapter Contents (Back)
Restoration. Survey, Restoration. See also Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models. See also Non-Local Means for Denoising.

Harris, J.L.,
Image Evaluation and Restoration,
JOSA(56), No. 5, May 1966, pp. 569-574. BibRef 6605

Rushforth, C.K., Harris, R.W.,
Restoration, Resolution, and Noise,
JOSA(58), No. 4, April 1968, pp. 539-545. BibRef 6804

Trussell, H.J., Civanlar, M.R.,
The Feasible Solution in Signal Restoration,
ASSP(32), No. 2, 1984, pp. 201-212. Constraints described as convex sets. BibRef 8400

Sezan, M.I., Tekalp, A.M., (Eds.)
Image Restoration and Reconstruction,
OptEng(29), No. 5, May 1990, pp. 391-574. Special issue. BibRef 9005

Sezan, M.I., Stark, H.,
Image restoration by the method of convex projections: Part 2,
MedImg(1), October 1982, pp. xx-yy. BibRef 8210

Sezan, M.I., Tekalp, A.M.,
Survey of recent developments in digital image restoration,
OptEng(29), No. 5, May 1990, pp. 393-404. Survey, Restoration. In the Special issue. BibRef 9005

Katsaggelos, A.K., Mammone, R.J., (Eds.)
Special Issue: Image Restoration,
JVCIR(3), No. 4, December 1992, pp. 305-455. BibRef 9212

Katsaggelos, A.K.,
Digital Image Restoration (Book),
SpringerBerlin, 1991. BibRef 9100

Banham, M.R., Katsaggelos, A.K.,
Digital Image Restoration,
SPMag(14), No. 2, March 1997, pp. 24-41. 9704
BibRef

Hong, M.C., Stathaki, T., and Katsaggelos, A.K.,
A Mixed Norm Image Restoration,
ICIP97(I: 385-388).
IEEE DOI BibRef 9700

May, K., Stathaki, T., Constantinides, A.G., Katsaggelos, A.K.,
Iterative determination of local bound constraints in iterative image restoration,
ICIP98(II: 833-837).
IEEE DOI 9810
BibRef

Hong, M.C.[Min-Cheol], Stathaki, T.,
A regularized least mean mixed norm multichannel image restoration algorithm,
ICIP98(II: 828-832).
IEEE DOI 9810
BibRef

Reeves, S.J., Mersereau, R.M.,
Automatic assessment of constraint sets in image restoration,
IP(1), No. 1, January 1992, pp. 119-123.
IEEE DOI 0402
BibRef

Reeves, S.J.,
Optimal space-varying regularization in iterative image restoration,
IP(3), No. 3, May 1994, pp. 319-324.
IEEE DOI 0402
BibRef

Reeves, S.J.,
Fast image restoration without boundary artifacts,
IP(14), No. 10, October 2005, pp. 1448-1453.
IEEE DOI 0510
BibRef

King, I.R.,
Some Practical Aspects of Image Restoration,
IJIST(6), No. 4, Winter 1995, pp. 392-394. BibRef 9500

Choy, S.S.O., Chan, Y.H.[Yuk-Hee], Siu, W.C.[Wan-Chi],
New Image Restoration Performance-Measures with High-Precision,
OptEng(36), No. 4, April 1997, pp. 1035-1043. 9705
BibRef
Earlier:
New adaptive iterative image restoration algorithm,
ICIP94(II: 670-674).
IEEE DOI 9411
BibRef

Fienup, J.R.,
Invariant Error Metrics for Image Reconstruction,
AppOpt(36), No. 32, November 10 1997, pp. 8352-8357. 9711
BibRef

Thurman, S.T.[Samuel T.], Fienup, J.R.[James R.],
Noise histogram regularization for iterative image reconstruction algorithms,
JOSA-A(24), No. 3, March 2007, pp. 608-617.
WWW Link. 0801
BibRef

Kuo, S.M., Morgan, D.R.,
Active noise control: a tutorial review,
PIEEE(87), No. 6, June 1999, pp. 943-973.
IEEE DOI 9906
Survey, Noise. BibRef

Uma, S., Annadurai, S.,
A Review: Restoration Approaches,
GVIP(05), No. V8, 2005, pp. 23-35.
HTML Version. BibRef 0500

Hasegawa, Y.[Yasumichi],
Algebraically Approximate and Noisy Realization of Discrete-Time Systems and Digital Images,
Springer-Verlag2009. ISBN: 978-3-642-03216-5
WWW Link. Buy this book: Algebraically Approximate and Noisy Realization of Discrete-Time Systems and Digital Images (Lecture Notes in Electrical Engineering) 0910
BibRef

Chatterjee, P., Milanfar, P.[Peyman],
Is Denoising Dead?,
IP(19), No. 4, April 2010, pp. 895-911.
IEEE DOI 1003
Evaluation, Denoising. Since recent work seems to be about as good as the past, is there a theoretical limit and are we there yet? Conclusion, not at the limit yet. BibRef

Chatterjee, P., Milanfar, P.[Peyman],
Practical Bounds on Image Denoising: From Estimation to Information,
IP(20), No. 5, May 2011, pp. 1221-1233.
IEEE DOI 1104
See also Patch-Based Near-Optimal Image Denoising. BibRef

Russo, F.,
New Method for Performance Evaluation of Grayscale Image Denoising Filters,
SPLetters(17), No. 5, May 2010, pp. 417-420.
IEEE DOI 1003
BibRef

Chickerur, S.[Satyadhyan], Kumar M., A.[Aswatha],
Image Restoration: Past, Present and Future,
RPCS(3), No. 3 2010, pp. 108-126.
WWW Link. 1003
BibRef

Jouini, W.,
Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty,
SPLetters(18), No. 7, July 2011, pp. 423-426.
IEEE DOI 1101
BibRef

Pavithra, S., Narasimhan, S.V.,
Feedback active noise control based on forward-backward LMS predictor,
SIViP(7), No. 6, November 2013, pp. 1083-1091.
Springer DOI 1310
Noise cancellation. BibRef

Pavithra, S., Narasimhan, S.V.,
Feedback active noise control based on transform-domain forward-backward LMS predictor,
SIViP(8), No. 3, March 2014, pp. 479-487.
WWW Link. 1403
BibRef

Shao, L., Yan, R., Li, X., Liu, Y.,
From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms,
Cyber(44), No. 7, July 2014, pp. 1001-1013.
IEEE DOI 1407
Survey, Denoising. Dictionaries BibRef


Akkoul, S.[Smaïl], Ledee, R.[Roger], Leconge, R.[Remy], Leger, C.[Christophe], Harba, R.[Rachid], Pesnel, S.[Sabrina], Lerondel, S.[Stéphanie], Lepape, A.[Alain], Vilcahuaman, L.[Luis],
Comparison of Image Restoration Methods for Bioluminescence Imaging,
ICISP08(163-172).
Springer DOI 0807
BibRef

Kokaram, A.[Anil],
Ten Years of Digital Visual Restoration Systems,
ICIP07(IV: 1-4).
IEEE DOI 0709
BibRef

Kornprobst, P., Deriche, R., Gilles, A.,
Nonlinear Operators in Image Restoration,
CVPR97(325-330).
IEEE DOI 9704
Halfquadratic minimization is best.
PS File. BibRef

Ferreira, P.J.S.G.,
The stability of certain image restoration problems: Quantitative results,
ICIP95(II: 29-32).
IEEE DOI 9510
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Restoration: Filter Approaches .


Last update:Apr 26, 2017 at 10:20:07