5.3.4.4 Multiresolution, Hierarchical Restoration Techniques

Chapter Contents (Back)
Restoration. Multiresolution. Scale Space.

Wong, Y.F.I.,
Nonlinear scale-space filtering and multiresolution system,
IP(4), No. 6, June 1995, pp. 774-787.
IEEE DOI 0402
BibRef
Earlier:
A clustering filter for scale-space filtering and image restoration,
CVPR93(668-669).
IEEE DOI 0403
BibRef

Anandakumar, K., Kassam, S.A.,
Nonlinear Multiresolution Decomposition with Applications in Image Restoration,
JEI(5), No. 3, July 1996, pp. 367-378. 9703
BibRef
Earlier:
Nonlinear filtering using generalized subband decomposition,
ICIP95(I: 382-385).
IEEE DOI 9510
BibRef

Stephanakis, I.M.,
Regularized Image Restoration in Multiresolution Spaces,
OptEng(36), No. 6, June 1997, pp. 1738-1744. 9706
BibRef

Liew, A.W.C., Law, N.F., Nguyen, D.T.,
Multiple Resolution Image Restoration,
VISP(144), No. 4, August 1997, pp. 199-206. 9806
BibRef

Faghih, F., Smith, M.,
Combining spatial and scale-space techniques for edge detection to provide a spatially adaptive wavelet-based noise filtering algorithm,
IP(11), No. 9, September 2002, pp. 1062-1071.
IEEE DOI 0210
BibRef

Scharcanski, J., Jung, C.R., Clarke, R.T.,
Adaptive image denoising using scale and space consistency,
IP(11), No. 9, September 2002, pp. 1092-1101.
IEEE DOI 0210
BibRef

Jung, C.R.[ClŠudio Rosito], Scharcanski, J.[Jacob],
Adaptive image denoising and edge enhancement in scale-space using the wavelet transform,
PRL(24), No. 7, April 2003, pp. 965-971.
Elsevier DOI 0301
BibRef

Brandtberg, T., McGraw, J.B., Warner, T.A., Landenberger, R.E.,
Image restoration based on multiscale relationships of image structures,
GeoRS(41), No. 1, January 2003, pp. 102-110.
IEEE Top Reference. 0304
BibRef

Zhang, L.[Lei], Bao, P.[Paul], Wu, X.L.[Xiao-Lin],
Hybrid inter- and intra-wavelet scale image restoration,
PR(36), No. 8, August 2003, pp. 1737-1746.
WWW Link. 0304
BibRef

Robini, M.C.[Marc C.], Magnin, I.E.[Isabelle E.],
Stochastic nonlinear image restoration using the wavelet transform,
IP(12), No. 8, August 2003, pp. 890-905.
IEEE DOI 0308
BibRef
Earlier:
Simulated annealing based shift-variant image restoration using the multiresolution wavelet transform,
ICIP98(I: 560-564).
IEEE DOI 9810
BibRef

Robini, M.C.[Marc C.], Magnin, I.E.[Isabelle E.],
Optimization By Stochastic Continuation,
SIIMS(3), No. 4, 2010, pp. 1096-1121.
DOI Link optimization; simulated annealing; Markov chain Monte Carlo; continuation; signal reconstruction; inverse problems BibRef 1000

Johnson, J.K., Willsky, A.S.[Alan S.],
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields,
IP(17), No. 1, January 2008, pp. 70-83.
IEEE DOI 0712
BibRef

Ham, B., Min, D.B., Sohn, K.H.,
Robust Scale-Space Filter Using Second-Order Partial Differential Equations,
IP(21), No. 9, September 2012, pp. 3937-3951.
IEEE DOI 1208
BibRef

Zhang, L.B.[Li-Bao], Chen, J.[Jie], Zhu, T.[Tong],
Image denoising based on iterative generalized cross-validation and fast translation invariant,
JVCIR(28), No. 1, 2015, pp. 1-14.
Elsevier DOI 1503
Image processing BibRef

Jiang, D.H.[Dong-Huan], Tan, X.[Xue], Liang, Y.Q.[Yong-Quan], Fang, S.[Sheng],
A new nonlocal variational bi-regularized image restoration model via split Bregman method,
JIVP(2015), No. 1, 2015, pp. 15.
DOI Link 1506
BibRef


Bao, L., Yang, Z., Wang, S., Bai, D., Lee, J.,
Real Image Denoising Based on Multi-Scale Residual Dense Block and Cascaded U-Net with Block-Connection,
NTIRE20(1823-1831)
IEEE DOI 2008
Noise measurement, Image denoising, Training, Noise reduction, Benchmark testing, Decoding, Cameras BibRef

Burger, H.C.[Harold Christopher], Harmeling, S.[Stefan],
Improving Denoising Algorithms via a Multi-scale Meta-procedure,
DAGM11(206-215).
Springer DOI 1109
BibRef

Wang, X.Y.[Xiang-Yang], Zhao, L.[Li], Niu, P.P.[Pan-Pan], Fu, Z.K.[Zhong-Kai],
Image Denoising Using Gaussian Scale Mixtures with Gaussian-Hermite PDF in Steerable Pyramid Domain,
JMIV(39), No. 3, March 2011, pp. 245-258.
WWW Link. 1103
BibRef

Cheng-Wu, L.[Lu],
Image Restoration Based on Bi-Regularization and Split Bregman Iterations,
CISP09(1-5).
IEEE DOI 0910
BibRef

Park, J.[Jonghyun], Kien, N.T.[Nguyen Trung], Lee, G.S.[Guee-Sang],
Noise Removal and Restoration Using Voting-Based Analysis and Image Segmentation Based on Statistical Models,
EMMCVPR07(242-252).
Springer DOI 0708
BibRef

Azzabou, N.[Noura], Paragios, N.[Nikos], Guichard, F.[Frederic], Cao, F.[Frederic],
Variable Bandwidth Image Denoising Using Image-based Noise Models,
CVPR07(1-7).
IEEE DOI 0706
See also Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement. See also Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing. BibRef

Gong, M.L.[Ming-Lun],
Images Restoration Using an Iterative Dynamic Programming Approach,
CRV07(395-402).
IEEE DOI 0705
See also Real-Time Stereo Matching Using Orthogonal Reliability-Based Dynamic Programming. BibRef

Yap, K.[Kim],
Image Restoration Based on Hierarchical Cluster Model with Evolutionary Optimization,
ICIP99(I:189-193).
IEEE DOI BibRef 9900

Asano, A.[Akira], Yokozeki, S.,
Multiresolution Pattern Spectrum and Its Application to Optimization of Nonlinear Filter,
ICIP96(I: 387-390).
IEEE DOI BibRef 9600

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Fourier Analysis, Frequency Spectrum Restoration .


Last update:Oct 19, 2020 at 15:02:28