5.3.13 Color, Multispectral, Multi-Channel Restoration

Chapter Contents (Back)
Image Restoration. Color Image Restoration. See also Photometric Calibration, Radiometric Calibration, Color Calibration. See also Color Correction, Weather Effects.

Chin, R.T., Yeh, C.L., Olson, W.S.,
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PAMI(7), No. 4, July 1985, pp. 475-484. BibRef 8507

Chin, R.T., Yeh, C.L.,
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CVPR83(422-426). BibRef 8300

Galatsanos, N.P., Katsaggelos, A.K.,
Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation,
IP(1), No. 3, July 1992, pp. 322-336.
IEEE DOI 0402
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Zhu, W., Galatsanos, N.P., Katsaggelos, A.K.,
Regularized Multichannel Restoration Using Cross-Validation,
GMIP(57), No. 1, 1995, pp. 38-yy. BibRef 9500

Mesarovic, V.Z., Galatsanos, N.P., Katsaggelos, A.K.,
Regularized constrained total least squares image restoration,
IP(4), No. 8, August 1995, pp. 1096-1108.
IEEE DOI 0402
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Mesarovic, V.Z., Galatsanos, N.P.,
MAP and regularized constrained total least-squares image restoration,
ICIP94(III: 177-181).
IEEE DOI 9411
BibRef

Yang, Y.Y.[Yong-Yi], Choi, M.[Mungi], Galatsanos, N.P.,
New results on multichannel regularized recovery of compressed video,
ICIP98(I: 391-395).
IEEE DOI 9810
BibRef
Earlier: A2, A1, A3:
Regularized Multichannel Recovery of Compressed Video,
ICIP97(I: 271-274).
IEEE DOI BibRef

Schultz, R.R., Stevenson, R.L.,
Stochastic modeling and estimation of multispectral image data,
IP(4), No. 8, August 1995, pp. 1109-1119.
IEEE DOI 0402
Color restoration, not just multiple monochrome restorations. BibRef

Keren, D.[Daniel], Osadchy, M.[Margarita],
Restoring subsampled color images,
MVA(11), No. 4, 1999, pp. 197-202.
Springer DOI 0001
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Pappas, M., Pitas, I.,
Digital Color Restoration of Old Paintings,
IP(9), No. 2, February 2000, pp. 291-294.
IEEE DOI 0003
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Angelopoulos, G., Pitas, I.,
Multichannel Wiener filters in color image restoration,
CirSysVideo(4), No. 1, February 1994, pp. 83-87, 102.
IEEE Top Reference. 0206
BibRef

Sezan, M.I., and Trussell, H.J.,
Prototype image constraints for settheoretic image restoration,
TSP(39), No. 10, October 1991, pp. 2275-2285. BibRef 9110

Altunbasak, H., Trussell, H.J.,
Colorimetric restoration of digital images,
IP(10), No. 3, March 2001, pp. 393-402.
IEEE DOI 0104
BibRef

Celebi, H., Trussell, H.J.,
Colorimetric restoration of digital images,
ICIP98(I: 206-210).
IEEE DOI 9810
BibRef

Pai, H.T.[Hung-Ta], Bovik, A.C.,
On eigenstructure-based direct multichannel blind image restoration,
IP(10), No. 10, October 2001, pp. 1434-1446.
IEEE DOI 0110
BibRef

Mersereau, R.M.[Russell M.],
Recovering multidimensional signals from their projections,
CGIP(2), No. 2, October 1973, pp. 179-195.
WWW Link. 0501
BibRef

Gunturk, B.K., Altunbasak, Y., Mersereau, R.M.,
Color plane interpolation using alternating projections,
IP(11), No. 9, September 2002, pp. 997-1013.
IEEE DOI 0210
See also Multiframe blocking-artifact reduction for transform-coded video. See also Gunturk-Altunbasak-Mersereau Alternating Projections Image Demosaicking. BibRef

Zhang, M., Gunturk, B.K.,
Multiresolution Bilateral Filtering for Image Denoising,
IP(17), No. 12, December 2008, pp. 2324-2333.
IEEE DOI 0811
See also Fast Bilateral Filter With Arbitrary Range and Domain Kernels. BibRef

Brook, A.[Alexander], Kimmel, R.[Ron], Sochen, N.A.[Nir A.],
Variational Restoration and Edge Detection for Color Images,
JMIV(18), No. 3, May 2003, pp. 247-268.
DOI Link 0304
BibRef

Bar, L.[Leah], Sochen, N.A.[Nir A.], Kiryati, N.[Nahum],
Semi-Blind Image Restoration Via Mumford-Shah Regularization,
IP(15), No. 2, February 2006, pp. 483-493.
IEEE DOI 0602
BibRef
Earlier:
Variational Pairing of Image Segmentation and Blind Restoration,
ECCV04(Vol II: 166-177).
Springer DOI 0405
See also Blind Space-Variant Single-Image Restoration of Defocus Blur. BibRef

Kimmel, R.[Ron], Sochen, N.A.[Nir A.],
Geometric-Variational Approach for Color Image Enhancement and Segmentation,
ScaleSpace99(294-305). BibRef 9900

Cree, M.J.,
Observations on Adaptive Vector Filters for Noise Reduction in Color Images,
SPLetters(11), No. 2, February 2004, pp. 140-143.
IEEE Abstract. 0402
BibRef

Hatakeyama, Y.[Yutaka], Kawamoto, K.[Kazuhiko], Nobuhara, H.[Hajime], Yoshida, S.I.[Shin-Ichi], Hirota, K.[Kaoru],
Color restoration algorithm for dynamic images under multiple luminance conditions using correction vectors,
PRL(26), No. 9, 1 July 2005, pp. 1304-1315.
WWW Link. 0506
BibRef

Uma, S., Annadurai, S.,
Colour Image Restoration Using Morphological Neural Network,
GVIP(05), No. V8, 2005, pp. 53-60.
HTML Version. BibRef 0500

Ma, Z., Wu, H.R., Feng, D.,
Partition-Based Vector Filtering Technique for Suppression of Noise in Digital Color Images,
IP(15), No. 8, August 2006, pp. 2324-2342.
IEEE DOI 0606
BibRef

Tsai, C.Y., Song, K.T.,
Heterogeneity-Projection Hard-Decision Color Interpolation Using Spectral-Spatial Correlation,
IP(16), No. 1, January 2007, pp. 78-91.
IEEE DOI 0701
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.], Venetsanopoulos, A.N.[Anastasios N.],
Color image denoising using evolutionary computation,
IJIST(15), No. 5, 2005, pp. 236-251.
DOI Link 0512
See also Self-adaptive algorithm of impulsive noise reduction in color images. BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.], Venetsanopoulos, A.N.[Anastasios N.],
Color image processing,
CVIU(107), No. 1-2, July-August 2007, pp. 1-2.
WWW Link. 0706
BibRef

Drago, F.[Fredric], Chiba, N.[Norishige],
Locally Adaptive Chromatic Restoration Of Digitally Acquired Paintings,
IJIG(5), No. 3, July 2005, pp. 617-637. 0507
BibRef

Auroux, D.[Didier], Belaid, L.J.[Lamia Jaafar], Rjaibi, B.[Badreddine],
Application Of The Topological Gradient Method To Color Image Restoration,
SIIMS(3), No. 2, 2010, pp. 153-175.
DOI Link 1004
topological gradient; topological asymptotic expansion; image restoration; Di Zenzo gradient; color vision BibRef

Netravali, I.A.[Ilka A.], Holt, R.J.[Robert J.], Webb, C.[Charles],
Perceptual denoising of color images,
IJIST(20), No. 3, September 2010, pp. 215-222.
DOI Link 1008
Tradeoff of sharpness and perceived noise. BibRef

Buemi, A.[Antonio], Bruna, A.R.[Arcangelo R.], Mancuso, M.[Massimo], Capra, A.[Alessandro], Spampinato, G.[Giuseppe],
Chroma Noise Reduction in DCT Domain Using Soft-Thresholding,
JIVP(2010), 2010, pp. xx-yy.
DOI Link 1202
BibRef

Zhang, Y., Duijster, A., Scheunders, P.,
A Bayesian Restoration Approach for Hyperspectral Images,
GeoRS(50), No. 9, September 2012, pp. 3453-3462.
IEEE DOI 1209
BibRef

Guo, X.[Xian], Huang, X.[Xin], Zhang, L.P.[Liang-Pei], Zhang, L.F.[Le-Fei],
Hyperspectral Image Noise Reduction Based on Rank-1 Tensor Decomposition,
PandRS(83), No. 1, 2013, pp. 50-63.
Elsevier DOI 1308
Tensor decomposition See also modified stochastic neighbor embedding for multi-feature dimension reduction of remote sensing images, A. BibRef

Shen, H.F.[Huan-Feng], Zhao, W.[Wennan], Yuan, Q.Q.[Qiang-Qiang], Zhang, L.P.[Liang-Pei],
Blind Restoration of Remote Sensing Images by a Combination of Automatic Knife-Edge Detection and Alternating Minimization,
RS(6), No. 8, 2014, pp. 7491-7521.
DOI Link 1410
BibRef

Lee, J.S.[Jung-San],
RII: Renovating the irregular illumination of digital image archives,
JVCIR(24), No. 7, 2013, pp. 739-751.
Elsevier DOI 1309
Digital archive. Restoration. BibRef

Zhang, H.Y.[Hong-Yan], He, W.[Wei], Zhang, L.P.[Liang-Pei], Shen, H.F.[Huan-Feng], Yuan, Q.,
Hyperspectral Image Restoration Using Low-Rank Matrix Recovery,
GeoRS(52), No. 8, August 2014, pp. 4729-4743.
IEEE DOI 1403
Gaussian noise BibRef

He, W.[Wei], Zhang, H.Y.[Hong-Yan], Zhang, L.P.[Liang-Pei], Shen, H.F.[Huan-Feng],
Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration,
GeoRS(54), No. 1, January 2016, pp. 178-188.
IEEE DOI 1601
hyperspectral imaging BibRef

He, W.[Wei], Zhang, H.Y.[Hong-Yan], Zhang, L.P.[Liang-Pei],
Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing,
GeoRS(55), No. 7, July 2017, pp. 3909-3921.
IEEE DOI 1706
Adaptation models, Hyperspectral imaging, Minimization, Robustness, Sparse matrices, TV, Blind unmixing, hyperspectral image, nonnegative matrix factorization (NMF), reweighted sparsity, total, variation, (TV) BibRef

Rasti, B., Sveinsson, J.R., Ulfarsson, M.O.,
Wavelet-Based Sparse Reduced-Rank Regression for Hyperspectral Image Restoration,
GeoRS(52), No. 10, October 2014, pp. 6688-6698.
IEEE DOI 1407
Hyperspectral imaging BibRef

Zhao, Y.Q.[Yong-Qiang], Yang, J.X.[Jing-Xiang],
Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint,
GeoRS(53), No. 1, January 2015, pp. 296-308.
IEEE DOI 1410
approximation theory BibRef

Yang, J.X.[Jing-Xiang], Zhao, Y.Q.[Yong-Qiang], Chan, J.C.W., Kong, S.G.,
Coupled Sparse Denoising and Unmixing With Low-Rank Constraint for Hyperspectral Image,
GeoRS(54), No. 3, March 2016, pp. 1818-1833.
IEEE DOI 1603
Dictionaries See also Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification. BibRef

Yi, C., Zhao, Y.Q.[Yong-Qiang], Yang, J.X.[Jing-Xiang], Chan, J.C.W., Kong, S.G.,
Joint Hyperspectral Superresolution and Unmixing With Interactive Feedback,
GeoRS(55), No. 7, July 2017, pp. 3823-3834.
IEEE DOI 1706
Degradation, Distortion, Hyperspectral imaging, Image reconstruction, Spatial resolution, Hyperspectral image (HSI), interactive feedback, sparsity, spectral unmixing, superresolution, enhancement BibRef

Lee, J.[Jino], Park, R.H.[Rae-Hong], Chang, S.[Soon_Keun],
Noise reduction using multiscale bilateral decomposition for digital color images,
SIViP(8), No. 7, October 2014, pp. 1345-1355.
WWW Link. 1410
BibRef

Roe, E.[Edward], Barros de Mello, C.A.[Carlos Alexandre],
Restoring images of ancient color postcards,
VC(31), No. 5, May 2015, pp. 627-641.
WWW Link. 1505
BibRef

Karami, A., Heylen, R., Scheunders, P.,
Band-Specific Shearlet-Based Hyperspectral Image Noise Reduction,
GeoRS(53), No. 9, September 2015, pp. 5054-5066.
IEEE DOI 1506
Correlation BibRef

Karami, A.[Azam], Heylen, R.[Rob], Scheunders, P.[Paul],
Hyperspectral Image Compression Optimized for Spectral Unmixing,
GeoRS(54), No. 10, October 2016, pp. 5884-5894.
IEEE DOI 1610
data compression BibRef

Ghasrodashti, E.K.[Elham Kordi], Karami, A.[Azam], Heylen, R.[Rob], Scheunders, P.[Paul],
Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Huo, L.G.[Lei-Gang], Feng, X.C.[Xiang-Chu], Huo, C.L.[Chun-Lei], Pan, C.H.[Chun-Hong],
Learning Deep Dictionary for Hyperspectral Image Denoising,
IEICE(E98-D), No. 7, July 2015, pp. 1401-1404.
WWW Link. 1508
BibRef

Li, C.[Chang], Ma, Y.[Yong], Huang, J.[Jun], Mei, X.G.[Xiao-Guang], Ma, J.Y.[Jia-Yi],
Hyperspectral image denoising using the robust low-rank tensor recovery,
JOSA-A(32), No. 9, September 2015, pp. 1604-1612.
DOI Link 1509
Spectroscopy, visible; Multispectral and hyperspectral imaging See also MsLRR: A Unified Multiscale Low-Rank Representation for Image Segmentation. BibRef

Ma, J.Y.[Jia-Yi], Jiang, J., Li, C.[Chang],
Hyperspectral Image Denoising with Segmentation-Based Low Rank Representation,
VCIP16(1-4)
IEEE DOI 1701
Gaussian noise BibRef

Ma, J.Y.[Jia-Yi], Li, C.[Chang], Ma, Y.[Yong], Wang, Z.,
Hyperspectral Image Denoising Based on Low-Rank Representation and Superpixel Segmentation,
ICIP16(3086-3090)
IEEE DOI 1610
Gaussian noise BibRef

Sun, J.[Jian], Xu, Z.B.[Zing-Ben],
Color Image Denoising via Discriminatively Learned Iterative Shrinkage,
IP(24), No. 11, November 2015, pp. 4148-4159.
IEEE DOI 1509
image colour analysis BibRef

Rizkinia, M., Baba, T., Shirai, K.[Keiichiro], Okuda, M.[Masahiro],
Local Spectral Component Decomposition for Multi-Channel Image Denoising,
IP(25), No. 7, July 2016, pp. 3208-3218.
IEEE DOI 1606
hyperspectral imaging BibRef

Shirai, K.[Keiichiro], Okuda, M.[Masahiro], Ikehara, M.[Masaaki],
Color-line vector field and local color component decomposition for smoothing and denoising of color images,
ICPR12(3050-3053).
WWW Link. 1302
BibRef

Xie, Y., Qu, Y., Tao, D., Wu, W., Yuan, Q., Zhang, W.,
Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p -Norm Minimization,
GeoRS(54), No. 8, August 2016, pp. 4642-4659.
IEEE DOI 1608
geophysical image processing BibRef

Dinh, K.Q., Canh, T.N., Jeon, B.,
Color Image Denoising via Cross-Channel Texture Transferring,
SPLetters(23), No. 8, August 2016, pp. 1071-1075.
IEEE DOI 1608
image colour analysis BibRef

Gai, S., Wang, L., Yang, G., Yang, P.,
Sparse representation based on vector extension of reduced quaternion matrix for multiscale image denoising,
IET-IPR(10), No. 8, 2016, pp. 598-607.
DOI Link 1608
image colour analysis BibRef

Liu, S.[Shuai], Jiao, L.C.[Li-Cheng], Yang, S.Y.[Shu-Yuan], Liu, H.Y.[Hong-Ying],
Hierarchical Sparse Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration,
IEICE(E100-D), No. 1, February 2017, pp. 350-358.
WWW Link. 1702
BibRef

Feiz, R.[Raheleh], Rezghi, M.[Mansoor],
A splitting method for total least squares color image restoration problem,
JVCIR(46), No. 1, 2017, pp. 48-57.
Elsevier DOI 1706
Structured, total, least, squares, (STLS) BibRef

Rezghi, M.,
A Novel Fast Tensor-Based Preconditioner for Image Restoration,
IP(26), No. 9, September 2017, pp. 4499-4508.
IEEE DOI 1708
approximation theory, image restoration, singular value decomposition, tensors, blurring matrix approximation, blurring tensor operator, fast tensor-based preconditioner, image processing, image restoration problem, iterative solver, large-scale structured ill-posed linear system, low-convergence rate, tensor contractive linear equation, truncated higher order singular value decomposition, zero boundaries, Convergence, Image restoration, Iterative methods, Linear systems, Mathematical model, Matrix decomposition, Tensile stress, HOSVD, Image restoration, Lanczos bidiagonalization, iterative methods, preconditioning, tensor BibRef

Ono, S.[Shunsuke],
Primal-Dual Plug-and-Play Image Restoration,
SPLetters(24), No. 8, August 2017, pp. 1108-1112.
IEEE DOI 1708
image denoising, image restoration, iterative methods, ADMM-based plug-and-play approach, alternating direction method of multipliers, general image restoration task, highly-customized Gaussian denoising method, primal-dual plug-and-play image restoration method, primal-dual splitting, problem-specific iterative method, Convex functions, Image restoration, Iterative methods, Noise measurement, Noise reduction, Optimization, Signal processing algorithms, Image restoration, plug-and-play approach, primal-dual, splitting, (PDS) BibRef

Ono, S.[Shunsuke], Yamada, I.[Isao],
A Convex Regularize for Reducing Color Artifact in Color Image Recovery,
CVPR13(1775-1781)
IEEE DOI 1309
Color image recovery; color lines; convex optimization BibRef

Priego, B.[Blanca], Duro, R.J.[Richard J.], Chanussot, J.[Jocelyn],
4DCAF: A temporal approach for denoising hyperspectral image sequences,
PR(72), No. 1, 2017, pp. 433-445.
Elsevier DOI 1708
Hyperspectral BibRef

Chen, Y., Guo, Y., Wang, Y., Wang, D., Peng, C., He, G.,
Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation,
GeoRS(55), No. 9, September 2017, pp. 5366-5380.
IEEE DOI 1709
augmented Lagrangian multipliers method, Gaussian noise. BibRef

Ardizzone, E., Dindo, H., Mazzola, G.,
A knowledge based architecture for the virtual restoration of ancient photos,
PR(74), No. 1, 2018, pp. 326-339.
Elsevier DOI 1711
Image, restoration BibRef


Lefkimmiatis, S.,
Non-local Color Image Denoising with Convolutional Neural Networks,
CVPR17(5882-5891)
IEEE DOI 1711
Color, Computational modeling, Image denoising, Image restoration, Linear programming, Machine learning, Noise, reduction BibRef

Chang, Y., Yan, L., Zhong, S.,
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising,
CVPR17(5901-5909)
IEEE DOI 1711
Analytical models, Computational modeling, Correlation, Noise reduction, Optimization, Tensile stress, Visualization BibRef

Han, C.[Chang], Sang, N.[Nong], Gao, C.X.[Chang-Xin],
A hyperspectral image restoration method based on analysis sparse filter,
ICPR16(769-774)
IEEE DOI 1705
Hyperspectral imaging, Image reconstruction, Image restoration, Noise reduction, TV BibRef

Nam, S.[Seonghyeon], Hwang, Y.B.[Young-Bae], Matsushita, Y.[Yasuyuki], Kim, S.J.[Seon Joo],
A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising,
CVPR16(1683-1691)
IEEE DOI 1612
BibRef

Xie, Q., Zhao, Q., Meng, D., Xu, Z., Gu, S., Zuo, W., Zhang, L.,
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization,
CVPR16(1692-1700)
IEEE DOI 1612
BibRef

Hosono, K., Ono, S., Miyata, T.,
Weighted tensor nuclear norm minimization for color image denoising,
ICIP16(3081-3085)
IEEE DOI 1610
Clustering algorithms BibRef

Teng, Y., Zhang, Y., Ti, C.,
A novel multi-scale LRMR method for hyperspectral images restoration,
ICIP16(1988-1992)
IEEE DOI 1610
Decision support systems BibRef

Wang, M.[Mengdi], Yu, J.[Jing], Sun, W.D.[Wei-Dong],
Group-based hyperspectral image denoising using low rank representation,
ICIP15(1623-1627)
IEEE DOI 1512
Denoising BibRef

Tsai, C.L.[Chia-Liang], Tu, W.C.[Wei-Chih], Chien, S.Y.[Shao-Yi],
Efficient natural color image denoising based on guided filter,
ICIP15(43-47)
IEEE DOI 1512
BibRef

Timofte, R.,
Anchored fusion for image restoration,
ICPR16(1412-1417)
IEEE DOI 1705
Dictionaries, Image denoising, Image resolution, Image restoration, Neural networks, Noise measurement, Noise, reduction BibRef

Honda, H.[Hiroto], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Make my day: High-fidelity color denoising with Near-Infrared,
PBVS15(82-90)
IEEE DOI 1510
Cameras BibRef

Hou, J.U.[Jong-Uk], Jang, H.U.[Han-Ul], Lee, H.K.[Heung-Kyu],
Hue modification estimation using sensor pattern noise,
ICIP14(5287-5291)
IEEE DOI 1502
Colored noise BibRef

Peng, Y.[Yi], Meng, D.Y.[De-Yu], Xu, Z.B.[Zong-Ben], Gao, C.Q.[Chen-Qiang], Yang, Y.[Yi], Zhang, B.[Biao],
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising,
CVPR14(2949-2956)
IEEE DOI 1409
Multispectral image denoising; dictionary learning; tensor analysis BibRef

Lam, A.[Antony], Sato, I.[Imari], Sato, Y.[Yoichi],
Denoising hyperspectral images using spectral domain statistics,
ICPR12(477-480).
WWW Link. 1302
BibRef

┼str÷m, F.[Freddie], Baravdish, G.[George], Felsberg, M.[Michael],
A Tensor Variational Formulation of Gradient Energy Total Variation,
EMMCVPR15(307-320).
Springer DOI 1504
BibRef
Earlier:
On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising,
ECCV12(III: 215-228).
Springer DOI 1210
BibRef

Loosli, C.[CÚdric], Jehan-Besson, S.[StÚphanie], Koko, J.[Jonas],
Uzawa Block Relaxation Methods for Color Image Restoration,
Color12(II: 492-503).
Springer DOI 1210
BibRef

Malik, K.[Krystyna], Smolka, B.[Bogdan],
Modified Bilateral Filter for the Restoration of Noisy Color Images,
ACIVS12(72-83).
Springer DOI 1209
BibRef

Rouf, M.[Mushfiqur], Lau, C.[Cheryl], Heidrich, W.[Wolfgang],
Gradient domain color restoration of clipped highlights,
PROCAMS12(7-14).
IEEE DOI 1207
BibRef

Nikitenko, D.[Denis], Wirth, M.[Michael],
Improved Quadratic Mapping Algorithm for Restoring Colour in Faded Photographs and Slides,
CRV11(175-182).
IEEE DOI 1105
See also Effect of Colour Space on Image Sharpening Algorithms, The. BibRef

Hara, T.[Takayuki], Guan, H.[Haike],
Color image denoising using e-neighborhood Gaussian model,
ICIP10(1921-1924).
IEEE DOI 1009
BibRef

Saito, T.[Takahiro], Takagaki, Y.[Yousuke], Komatsu, T.[Takashi],
Three kinds of color total-variation semi-norms and its application to color-image denoising,
ICIP11(1457-1460).
IEEE DOI 1201
BibRef

Saito, T.[Takahiro], Fujii, N.[Nobuhiro], Komatsu, T.[Takashi],
Iterative soft color-shrinkage for color-image denoising,
ICIP09(3837-3840).
IEEE DOI 0911
BibRef

Bosco, A.[Angelo], Battiato, S.[Sebastiano], Bruna, A.R.[Arcangelo R.], Rizzo, R.[Rosetta],
Texture Sensitive Denoising for Single Sensor Color Imaging Devices,
CCIW09(130-139).
Springer DOI 0903
BibRef

He, L.[Lei], Li, C.M.[Chun-Ming], Xu, C.Y.[Chen-Yang],
Intensity statistics-based HSI diffusion for color photo denoising,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And: A1, A3, Only:
Color Photo Denoising Via Hue, Saturation and Intensity Diffusion,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

He, L.[Lei],
Spatially varying weighted HSI diffusion for color image denoising,
ICIP08(581-584).
IEEE DOI 0810
BibRef

Parmar, M.[Manu], Reeves, S.J.[Stanley J.], Denney, T.S.[Thomas S.],
Bayesian Restoration of Color Images using a Non-Homogenous Cross-Channel Prior,
ICIP07(III: 505-508).
IEEE DOI 0709
BibRef

Zhang, Y.F.[Yi-Fan], Duijster, A.[Arno], Scheunders, P.[Paul],
A hyperspectral image restoration technique,
ICIP09(2873-2876).
IEEE DOI 0911
BibRef

Duijster, A.[Arno], de Backer, S.[Steve], Scheunders, P.[Paul],
Multicomponent Image Restoration, an Experimental Study,
ICIAR07(58-68).
Springer DOI 0708
BibRef

San, X.[Xing], Cai, H.[Hua], Li, J.[Jiang],
Color Image Coding by using Inter-Color Correlation,
ICIP06(3117-3120).
IEEE DOI 0610
BibRef

Wu, Y.M.[Yi-Ming], Fuh, C.S.[Chiou-Shann], Hsu, J.P.[Jui-Pin],
Color interpolation for single CCD color camera,
Southwest04(90-94).
WWW Link. 0411
BibRef

Gerace, I., Pandolfi, R.,
A color image restoration with adjacent parallel lines inhibition,
CIAP03(391-396).
IEEE DOI 0310
BibRef

Lucchese, L., Mitra, S.K.,
A new method for denoising color images,
ICIP02(II: 373-376).
IEEE DOI 0210
BibRef

Thomas, B.,
Wavelet-based Color Image Denoising,
ICIP00(Vol II: 804-807).
IEEE DOI 0008
BibRef

Barni, M.,
Multichannel M-filtering for Color Image Restoration,
ICIP00(Vol I: 529-532).
IEEE DOI 0008
BibRef

Al-Suwailem, U., and Keller, J.,
Multichannel Image Identification and Restoration Using Continuous Spatial Domain Modeling,
ICIP97(II: 466-469).
IEEE DOI BibRef 9700

Gamba, P., Lilla, M., and Mecocci, A.,
A Fast Algorithm for Target Shadow Removal in Monocular Colour Sequences,
ICIP97(I: 436-447).
IEEE DOI BibRef 9700

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Least Squares Applied to Restoration .


Last update:Nov 18, 2017 at 20:56:18