*Vidal, R.G.[Rosaura G.]*,
*Banerjee, S.[Sreya]*,
*Grm, K.[Klemen]*,
*Struc, V.[Vitomir]*,
*Scheirer, W.J.[Walter J.]*,

**UG^2: a Video Benchmark for Assessing the Impact of Image Restoration
and Enhancement on Automatic Visual Recognition**,

WWW Link.
**1901**

Earlier:
*WACV18*(1597-1606)

IEEE DOI
**1806**

*Dataset, Image Restoration*. Used for restoration challenges at CVPR.
image classification, image enhancement, image restoration,
learning (artificial intelligence), object detection,
Visualization
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*Harris, J.L.*,

**Image Evaluation and Restoration**,

*JOSA(56)*, No. 5, May 1966, pp. 569-574.
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**6605**

*Rushforth, C.K.*,
*Harris, R.W.*,

**Restoration, Resolution, and Noise**,

*JOSA(58)*, No. 4, April 1968, pp. 539-545.
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**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.
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**8400**

*Sezan, M.I.*,
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Special issue.
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**9005**

*Sezan, M.I.*,
*Stark, H.*,

**Image restoration by the method of convex projections: Part 2**,

*MedImg(1)*, October 1982, pp. xx-yy.
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**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.
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**9005**

*Katsaggelos, A.K.*,
*Mammone, R.J.*, (Eds.)

**Special Issue: Image Restoration**,

*JVCIR(3)*, No. 4, December 1992, pp. 305-455.
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**9212**

*Katsaggelos, A.K.*,

**Digital Image Restoration (Book)**,

*Springer*Berlin, 1991.
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**9100**

*Banham, M.R.*,
*Katsaggelos, A.K.*,

**Digital Image Restoration**,

*SPMag(14)*, No. 2, March 1997, pp. 24-41.
**9704**

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*Hong, M.C.*,
*Stathaki, T.*, and
*Katsaggelos, A.K.*,

**A Mixed Norm Image Restoration**,

*ICIP97*(I: 385-388).

IEEE DOI
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**9700**

*May, K.*,
*Stathaki, T.*,
*Constantinides, A.G.*,
*Katsaggelos, A.K.*,

**Iterative determination of local bound constraints in iterative image
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*ICIP98*(II: 833-837).

IEEE DOI
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*Hong, M.C.[Min-Cheol]*,
*Stathaki, T.*,

**A regularized least mean mixed norm multichannel image restoration
algorithm**,

*ICIP98*(II: 828-832).

IEEE DOI
**9810**

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*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
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*Reeves, S.J.*,

**Optimal space-varying regularization in iterative image restoration**,

*IP(3)*, No. 3, May 1994, pp. 319-324.

IEEE DOI
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*Reeves, S.J.*,

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*IP(14)*, No. 10, October 2005, pp. 1448-1453.

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*King, I.R.*,

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*IJIST(6)*, No. 4, Winter 1995, pp. 392-394.
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**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**

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Earlier:

**New adaptive iterative image restoration algorithm**,

*ICIP94*(II: 670-674).

IEEE DOI
**9411**

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*Fienup, J.R.*,

**Invariant Error Metrics for Image Reconstruction**,

*AppOpt(36)*, No. 32, November 10 1997, pp. 8352-8357.
**9711**

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*Thurman, S.T.[Samuel T.]*,
*Fienup, J.R.[James R.]*,

**Noise histogram regularization for iterative image reconstruction
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**0801**

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*Morgan, D.R.*,

**Active noise control: a tutorial review**,

*PIEEE(87)*, No. 6, June 1999, pp. 943-973.

IEEE DOI
**9906**

*Survey, Noise*.
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*Uma, S.*,
*Annadurai, S.*,

**A Review: Restoration Approaches**,

*GVIP(05)*, No. V8, 2005, pp. 23-35.

HTML Version.
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**0500**

*Hasegawa, Y.[Yasumichi]*,

**Algebraically Approximate and Noisy Realization of Discrete-Time Systems
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*Springer-Verlag*2009. ISBN: 978-3-642-03216-5

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**Buy this book: Algebraically Approximate and Noisy Realization of Discrete-Time Systems and Digital Images (Lecture Notes in Electrical Engineering)
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**0910**

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*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.
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*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.
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*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.
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*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
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*Zhang, L.*,
*Zuo, W.*,

**Image Restoration: From Sparse and Low-Rank Priors to Deep Priors**,

*SPMag(34)*, No. 5, September 2017, pp. 172-179.

IEEE DOI
**1709**

Lecture Notes.
Cameras, Digital cameras, Digital imaging, Dynamic range, Encoding,
Machine learning, Transform, coding
BibRef

*Rasti, B.[Behnood]*,
*Scheunders, P.[Paul]*,
*Ghamisi, P.[Pedram]*,
*Licciardi, G.[Giorgio]*,
*Chanussot, J.[Jocelyn]*,

**Noise Reduction in Hyperspectral Imagery: Overview and Application**,

*RS(10)*, No. 3, 2018, pp. xx-yy.

DOI Link
**1804**

BibRef

IEEE DOI

Benchmark testing, Cameras, Gaussian noise, ISO, Noise measurement, Noise reduction, Protocols 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:Dec 23, 2019 at 15:47:08