5.3.12 Restoration by Deconvolution, Blind Deconvolution

Chapter Contents (Back)
Image Restoration. Deconvolution. Blind Deconvolution.

MacAdam, D.P.,
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Cannon, T.M.,
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Cadzow, J.A.,
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Kundur, D., Hatzinakos, D.,
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And:
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Kundur, D., Hatzinakos, D.[Dimitrios],
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Earlier:
On the Global Asymptotic Stability of the NAS-RIF Algorithm for Blind Image Restoration,
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Cheng, L.Z.,
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Namba, M., Ishida, Y.,
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Pillai, S.U., Liang, B.,
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Earlier:
Two-Dimensional Blind Deconvolution Using a Robust GCD Approach,
ICIP97(I: 424-427).
IEEE DOI BibRef

Ong, C.A., Chambers, J.A.,
An Enhanced NAS-RIF Algorithm for Blind Image Deconvolution,
IP(8), No. 7, July 1999, pp. 988-992.
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Harikumar, G., Bresler, Y.,
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IP(8), No. 6, June 1999, pp. 846-862.
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Ng, M.K., Plemmons, R.J., Qiao, S.,
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Lam, E.Y.[Edmund Y.], Goodman, J.W.[Joseph W.],
Iterative statistical approach to blind image deconvolution,
JOSA-A(17), No. 7, July 2000, pp. 1177-1184. 0008
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Fiori, S., Maiolini, G.,
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Qidwai, U., Chen, C.H.,
Two-dimensional Hinf -based blind deconvolution for image enhancement with applications to ultrasonic NDE,
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Qidwai, U.,
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Chen, C.H.[Chi-Hau], Qidwai, U.,
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Qidwai, U.[Uvais], Qidwai, U.[Umair],
Blind Restoration of Fluorescein Angiography Images,
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Prasad, S.[Sudhakar],
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JOSA-A(19), No. 7, July 2002, pp. 1286-1296.
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Restoration by deconvolution. See also Bayesian-Based Iterative Method of Image Restoration. BibRef

Ruiz, C.P.[C. Pinilla], López, F.J.A.[F. J. Ariza],
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Li, T.H.[Ta-Hsin], Lii, K.S.[Keh-Shin],
A joint estimation approach for two-tone image deblurring by blind deconvolution,
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Jalobeanu, A.[André], Blanc-Féraud, L.[Laure], Zerubia, J.B.[Josiane B.],
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Khoumri, M., Blanc-Feraud, L., Zerubia, J.B.,
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Jalobeanu, A.[André], Blanc-Féraud, L.[Laure], Zerubia, J.B.[Josiane B.],
Satellite Image Deblurring Using Complex Wavelet Packets,
IJCV(51), No. 3, February-March 2003, pp. 205-217.
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Earlier:
Satellite Image Deconvolution Using Complex Wavelet Packets,
ICIP00(Vol III: 809-812).
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Jalobeanu, A., Kingsbury, N.G., Zerubia, J.B.,
Image Deconvolution Using Hidden Markov Tree Modeling of Complex Wavelet Packets,
ICIP01(I: 201-204).
IEEE DOI 0108
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Miller, M., Kingsbury, N.G.,
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IP(17), No. 9, September 2008, pp. 1500-1511.
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de Rivaz, P., Kingsbury, N.G.,
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ICIP01(II: 273-276).
IEEE DOI 0108
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Miller, M., Kingsbury, N.G.,
Image Modeling Using Interscale Phase Properties of Complex Wavelet Coefficients,
IP(17), No. 9, September 2008, pp. 1491-1499.
IEEE DOI 0810
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Jalobeanu, A.[André], Blanc-Féraud, L.[Laure], Zerubia, J.B.[Josiane B.],
An Adaptive Gaussian Model for Satellite Image Deblurring,
IP(13), No. 4, April 2004, pp. 613-621.
IEEE DOI 0404
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Earlier:
Estimation of Adaptive Parameters for Satellite Image Deconvolution,
ICPR00(Vol III: 318-321).
IEEE DOI 0009
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Jalobeanu, A., Nowak, R.D., Zerubia, J.B., Figueiredo, M.A.T.,
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ICIP02(I: 333-336).
IEEE DOI 0210
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Easley, G.R., Walnut, D.F.,
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JMIV(18), No. 1, January 2003, pp. 69-80.
DOI Link 0301
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Kalifa, J., Mallat, S.G., Rouge, B.,
Deconvolution by thresholding in mirror wavelet bases,
IP(12), No. 4, April 2003, pp. 446-457.
IEEE DOI 0306
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Earlier:
Image deconvolution in mirror wavelet bases,
ICIP98(I: 565-569).
IEEE DOI 9810
BibRef

Panci, G., Campisi, P., Colonnese, S., Scarano, G.,
Multichannel blind image deconvolution using the bussgang algorithm: Spatial and multiresolution approaches,
IP(12), No. 11, November 2003, pp. 1324-1337.
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Earlier: A2, A3, A1, A4:
Multichannel bussgang algorithm for blind restoration of natural images,
ICIP03(II: 985-988).
IEEE DOI 0312
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Laligant, O., Truchetet, F., Dupasquier, A.,
Edge enhancement by local deconvolution,
PR(38), No. 5, May 2005, pp. 661-672.
WWW Link. 0501
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Chen, L., Yap, K.H.,
A Soft Double Regularization Approach to Parametric Blind Image Deconvolution,
IP(14), No. 5, May 2005, pp. 624-633.
IEEE DOI 0505
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Earlier: A2, A1:
A Recursive Soft-decision Psf and Neural Network Approach to Adaptive Blind Image Regularization,
ICIP00(Vol III: 813-816).
IEEE DOI 0008
BibRef

Bronstein, M.M., Bronstein, A.M., Zibulevsky, M., Zeevi, Y.Y.,
Blind Deconvolution of Images Using Optimal Sparse Representations,
IP(14), No. 6, June 2005, pp. 726-736.
IEEE DOI 0505
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Earlier:
Optimal sparse representations for blind source separation and blind deconvolution: a learning approach,
ICIP04(III: 1815-1818).
IEEE DOI 0505
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Bronstein, A.M., Zibulevsky, M., Bronstein, M.M., Zeevi, Y.Y.,
Fast Relative Newton Algorithm for Blind Deconvolution of Images,
ICIP04(II: 1233-1236).
IEEE DOI 0505
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Paajarvi, P., LeBlanc, J.P.,
Online Adaptive Blind Deconvolution Based on Third-Order Moments,
SPLetters(12), No. 12, December 2005, pp. 863-866.
IEEE DOI 0512
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Kaftory, R.[Ran], Sochen, N.A.[Nir A.], Zeevi, Y.Y.[Yehushua Y.],
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IJIST(15), No. 1, 2005, pp. 56-63.
DOI Link 0507
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Kaftory, R.[Ran], Zeevi, Y.Y.[Yehoshua Y.],
Blind separation of position varying mixed images,
ICIP09(3913-3916).
IEEE DOI 0911
BibRef
Earlier:
Blind separation of images obtained by spatially-varying mixing system,
ICIP08(2604-2607).
IEEE DOI 0810
BibRef

Kaftory, R.[Ran], Schechner, Y.Y.[Yoav Y.], Zeevi, Y.Y.[Yehoshua Y.],
Variational Distance-Dependent Image Restoration,
CVPR07(1-8).
IEEE DOI 0706
Through scattering medium. BibRef

Schechner, Y.Y., Karpel, N.,
Clear underwater vision,
CVPR04(I: 536-543).
IEEE DOI 0408
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He, L.[Lin], Marquina, A.[Antonio], Osher, S.J.[Stanley J.],
Blind deconvolution using TV regularization and Bregman iteration,
IJIST(15), No. 1, 2005, pp. 74-83.
DOI Link 0507
BibRef

Sajda, P.[Paul], Zeevi, Y.Y.[Yehoshua Y.],
Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing,
IJIST(15), No. 1, 2005, pp. 1.
DOI Link 0507
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Zhou, J., Do, M.N.,
Multidimensional Multichannel FIR Deconvolution Using GrÖbner Bases,
IP(15), No. 10, October 2006, pp. 2998-3007.
IEEE DOI 0609
BibRef

Sanchez-Brea, L.M., Bernabeu, E.,
Uncertainty Estimation by Convolution Using Spatial Statistics,
IP(15), No. 10, October 2006, pp. 3131-3137.
IEEE DOI 0609
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Sakano, M.[Morihiko], Suetake, N.[Noriaki], Uchino, E.[Eiji],
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OptRev(14), No. 5, September 2007, pp. 297-303.
Springer DOI BibRef 0709

Ma, L.S.[Liang-Suo], Tsoi, A.C.[Ah Chung],
A unified balanced approach to multichannel blind deconvolution,
SIViP(1), No. 4, October 2007, pp. 369-384.
Springer DOI 0711
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Ma, L.S.[Liang-Suo], Tsoi, A.C.[Ah Chung],
A variational Bayesian approach to number of sources estimation for multichannel blind deconvolution,
SIViP(2), No. 2, June 2008, pp. xx-yy.
Springer DOI 0711
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Neelamani, R.N.[Ramesh N.], Deffenbaugh, M., Baraniuk, R.G.[Ricard G.],
Texas Two-Step: A Framework for Optimal Multi-Input Single-Output Deconvolution,
IP(16), No. 11, November 2007, pp. 2752-2765.
IEEE DOI 0709
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Giovannelli, J.F.,
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IP(17), No. 1, January 2008, pp. 16-26.
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Cavity models. BibRef

Kopriva, I.[Ivica],
Aproach to blind image deconvolution by multiscale subband decomposition and independent component analysis,
JOSA-A(24), No. 4, April 2007, pp. 973-983.
WWW Link. 0801
BibRef

Hom, E.F.Y.[Erik F. Y.], Marchis, F.[Franck], Lee, T.K.[Timothy K.], Haase, S.[Sebastian], Agard, D.A.[David A.], Sedat, J.W.[John W.],
AIDA: an adaptive image deconvolution algorithm with application to multi-frame and three-dimensional data,
JOSA-A(24), No. 6, June 2007, pp. 1580-1600.
WWW Link. 0801
Extension of the MISTRAL method developed by Mugnier. See also MISTRAL: a myopic edge-preserving image restoration method, with application to astronomical adaptive-optics-corrected long-exposure images. BibRef

Zhang, J.L.[Jian-Lin], Zhang, Q.H.[Qi-Heng], He, G.M.[Guang-Ming],
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JOSA-A(25), No. 3, March 2008, pp. 710-717.
WWW Link. 0804
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He, Y., Yap, K.H., Chen, L., Chau, L.P.,
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SMC-A(38), No. 4, July 2008, pp. 867-880.
IEEE DOI 0806
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Zhou, H.Y.[Hui-Yu], Liu, T.W.[Tang-Wei], Lin, F.Q.[Fa-Quan], Pang, Y.S.[Yu-Sheng], Wu, J.[Ji],
Image Restoration And Detail Preservation By Bayesian Estimation,
IJIG(7), No. 3, July 2007, pp. 497-514. 0707
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Tzikas, D.G.[Dimitris G.], Likas, A.[Aristidis], Galatsanos, N.P.[Nikolaos P.],
Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors,
IP(18), No. 4, April 2009, pp. 753-764.
IEEE DOI 0903
BibRef
Earlier:
Variational Bayesian Blind Image Deconvolution with Student-T Priors,
ICIP07(I: 109-112).
IEEE DOI 0709
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Earlier: A2, A3, Only:
A variational method for bayesian blind image deconvolution,
ICIP03(II: 973-976).
IEEE DOI 0312
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Easley, G.R.[Glenn R.], Healy, D.M.[Dennis M.], Berenstein, C.A.[Carlos A.],
Image Deconvolution Using A General Ridgelet And Curvelet Domain,
SIIMS(2), No. 1, 2009, pp. 253-283. Radon transform; ridgelet transform; curvelet transform; deconvolution; boundary conditions
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Easley, G.R., Labate, D., Colonna, F.,
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IP(18), No. 2, February 2009, pp. 260-268.
IEEE DOI 0901
See also Shearlet Approach to Edge Analysis and Detection, A. BibRef

Patel, V.M., Easley, G.R.[Glenn R.], Healy, D.M.[Dennis M.],
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IP(18), No. 12, December 2009, pp. 2673-2685.
IEEE DOI 0912
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Easley, G.R.[Glenn R.], Labate, D.[Demetrio], Patel, V.M.[Vishal M.],
Hyperbolic shearlets,
ICIP12(2449-2452).
IEEE DOI 1302
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Wang, X.[Xin],
Wrap-around effect removal finite ridgelet transform for multiscale image denoising,
PR(43), No. 11, November 2010, pp. 3693-3698.
Elsevier DOI 1008
Finite radon transform; Ridgelets; Pyramid; Image denoising BibRef

Orieux, F.[François], Giovannelli, J.F.[Jean-François], Rodet, T.[Thomas],
Bayesian estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution,
JOSA-A(27), No. 7, July 2010, pp. 1593-1607.
WWW Link. 1003
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Orieux, F.[François], Rodet, T.[Thomas], Giovannelli, J.F.[Jean-François],
Instrument parameter estimation in bayesian convex deconvolution,
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IEEE DOI 1009
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Averbuch, A.[Amir], Zheludev, V.[Valery], Neittaanmäki, P.[Pekka], Koren, J.[Jenny],
Block Based Deconvolution Algorithm Using Spline Wavelet Packets,
JMIV(38), No. 3, November 2010, pp. 197-225.
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Garnier, J.[Josselin], Solna, K.[Knut],
Cross Correlation And Deconvolution of Noise Signals in Randomly Layered Media,
SIIMS(3), No. 4, 2010, pp. 809-834.
DOI Link 1011
passive sensor imaging; noise sources; random media BibRef

Liao, H., Ng, M.K.,
Blind Deconvolution Using Generalized Cross-Validation Approach to Regularization Parameter Estimation,
IP(20), No. 3, March 2011, pp. 670-680.
IEEE DOI 1103
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Lee, J.H.[Jong-Ho], Ho, Y.S.[Yo-Sung],
High-quality non-blind image deconvolution with adaptive regularization,
JVCIR(22), No. 7, October 2011, pp. 653-663.
Elsevier DOI 1109
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Earlier:
High-quality Non-blind Image Deconvolution,
PSIVT10(282-287).
IEEE DOI 1011
Image deblurring; Non-blind image deconvolution; Ringing artifacts; Noise amplification; Local characteristics; Adaptive regularization; Fast deconvolution; Boundary artifacts reduction BibRef

Levin, A.[Anat], Weiss, Y.[Yair], Durand, F.[Fredo], Freeman, W.T.[William T.],
Understanding Blind Deconvolution Algorithms,
PAMI(33), No. 12, December 2011, pp. 2354-2367.
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And:
Efficient marginal likelihood optimization in blind deconvolution,
CVPR11(2657-2664).
IEEE DOI 1106
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Earlier:
Understanding and evaluating blind deconvolution algorithms,
CVPR09(1964-1971).
IEEE DOI 0906
Award, CVPR, HM. BibRef
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Levin, A.[Anat], Nadler, B.[Boaz], Durand, F.[Fredo], Freeman, W.T.[William T.],
Patch Complexity, Finite Pixel Correlations and Optimal Denoising,
ECCV12(V: 73-86).
Springer DOI 1210
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Ni, J., Turaga, P.K., Patel, V.M., Chellappa, R.,
Example-Driven Manifold Priors for Image Deconvolution,
IP(20), No. 11, November 2011, pp. 3086-3096.
IEEE DOI 1110
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Hou, T.B.[Ting-Bo], Wang, S.[Sen], Qin, H.[Hong],
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Li, W.H.[Wei-Hong], Li, Q.[Quanli], Gong, W.G.[Wei-Guo], Tang, S.[Shu],
Total variation blind deconvolution employing split Bregman iteration,
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Image processing; Blind deconvolution; Split Bregman; Total variation; Deblurring; Euler-Lagrange equation; Iteration scheme; Point spread function BibRef

Sroubek, F., Milanfar, P.,
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Sorel, M.,
Removing Boundary Artifacts for Real-Time Iterated Shrinkage Deconvolution,
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Szolgay, D.[Dániel], Szirányi, T.[Tamás],
Adaptive Image Decomposition into Cartoon and Texture Parts Optimized by the Orthogonality Criterion,
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Orthogonality Based Stopping Condition for Iterative Image Deconvolution Methods,
ACCV10(IV: 321-332).
Springer DOI 1011
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Chung, J.[Julianne], Chung, M.[Matthias], O'Leary, D.P.[Dianne P.],
Optimal Filters from Calibration Data for Image Deconvolution with Data Acquisition Error,
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Yang, H.[Hang], Zhang, Z.B.[Zhong-Bo], Wu, D.Y.[Dan-Yang],
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IJIST(22), No. 4, December 2012, pp. 233-240.
DOI Link 1211
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Huo, Z.X.[Zhuo-Xi], Zhou, J.F.[Jian-Feng],
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JOSA-A(29), No. 12, December 2012, pp. 2688-2695.
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Ponti, Jr., M.P.[Moacir P.], Mascarenhas, N.D.A.[Nelson D.A.], Ferreira, P.J.S.G.[Paulo J.S.G.], Suazo, C.A.T.[Claudio A.T.],
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Cao, W.[Wenfei], Sun, J.[Jian], Xu, Z.B.[Zong-Ben],
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Sparsity; L 1 2 regularization; L 2 3 regularization; Variable splitting; Image deconvolution; L0 regularization; L1 regularization; Thresholding formula BibRef

Henrot, S., Soussen, C., Brie, D.,
Fast Positive Deconvolution of Hyperspectral Images,
IP(22), No. 2, February 2013, pp. 828-833.
IEEE DOI 1302
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Ahmad, M.S.[Mohammad Shukri], Kukrer, O.[Osman], Hocanin, A.[Aykut],
A 2-D recursive inverse adaptive algorithm,
SIViP(7), No. 2, March 2013, pp. 221-226.
Springer DOI 1303
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Bonettini, S., Cornelio, A., Prato, M.,
A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy,
SIIMS(6), No. 3, 2013, pp. 1736-1757.
DOI Link 1310
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Li, Y.[Yan], Clarke, K.C.[Keith C.],
Image deblurring for satellite imagery using small-support-regularized deconvolution,
PandRS(85), No. 1, 2013, pp. 148-155.
Elsevier DOI 1310
Remote sensing BibRef

Zhang, J., Zhong, P., Chen, Y., Li, S.,
L_1/2-Regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images,
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IEEE DOI 1403
L_1/2 regularizer BibRef

Fortunato, H.E.[Horacio E.], Oliveira, M.M.[Manuel M.],
Fast high-quality non-blind deconvolution using sparse adaptive priors,
VC(30), No. 6-8, June 2014, pp. 661-671.
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Shao, W.Z.[Wen-Ze], Deng, H.S.[Hai-Song], Wei, Z.H.[Zhi-Hui],
The magic of split augmented Lagrangians applied to K-frame-based L0-L2 minimization image restoration,
SIViP(8), No. 5, July 2014, pp. 975-983.
Springer DOI 1407
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Lindberg, D.V., Omre, H.,
Blind Categorical Deconvolution in Two-Level Hidden Markov Models,
GeoRS(52), No. 11, November 2014, pp. 7435-7447.
IEEE DOI 1407
Approximation methods BibRef

Repetti, A., Pham, M.Q., Duval, L., Chouzenoux, E., Pesquet, J.C.,
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed L_1/L_2 Regularization,
SPLetters(22), No. 5, May 2015, pp. 539-543.
IEEE DOI 1411
Approximation methods BibRef

Jung, C.[Cheolkon], Gu, A.[Aiguo],
Curvature preserving image super-resolution with gradient-consistency-anisotropic-regularization prior,
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Elsevier DOI 1411
Adaptive de-convolution BibRef

Jung, C.[Cheolkon], Sun, T.[Tian], Gu, A.[Aiguo],
Content adaptive video denoising based on human visual perception,
JVCIR(31), No. 1, 2015, pp. 14-25.
Elsevier DOI 1508
Content adaptive BibRef

Xiao, L., Gregson, J.[James], Heide, F.[Felix], Heidrich, W.[Wolfgang],
Stochastic Blind Motion Deblurring,
IP(24), No. 10, October 2015, pp. 3071-3085.
IEEE DOI 1507
Cameras BibRef

Gregson, J.[James], Heide, F.[Felix], Hullin, M.B.[Matthias B.], Rouf, M.[Mushfiqur], Heidrich, W.[Wolfgang],
Stochastic Deconvolution,
CVPR13(1043-1050)
IEEE DOI 1309
Deblurring; Deconvolution; Random Walk; Spatially-Varying PSF; Stochastic BibRef

Bahmani, S.[Sohail], Romberg, J.[Justin],
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation,
SIIMS(8), No. 4, 2015, pp. 2203-2238.
DOI Link 1601
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Welk, M.[Martin],
A robust variational model for positive image deconvolution,
SIViP(10), No. 1, February 2016, pp. 369-378.
WWW Link. 1601
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Xue, F.[Feng], Liu, J.[Jiaqi], Jiao, S.H.[Sheng-Hai], Liu, S.D.[Sheng-Dong], Zhao, M.[Min], Niu, Z.H.[Zhen-Hong],
SURE-Type Functionals as Criteria for Parametric PSF Estimation,
JMIV(54), No. 1, January 2016, pp. 78-105.
Springer DOI 1601
BibRef

Schmidt, U., Jancsary, J.[Jeremy], Nowozin, S.[Sebastian], Roth, S.[Stefan], Rother, C.[Carsten],
Cascades of Regression Tree Fields for Image Restoration,
PAMI(38), No. 4, April 2016, pp. 677-689.
IEEE DOI 1603
Analytical models BibRef

Schelten, K.[Kevin], Nowozin, S.[Sebastian], Jancsary, J.[Jeremy], Rother, C.[Carsten], Roth, S.[Stefan],
Interleaved Regression Tree Field Cascades for Blind Image Deconvolution,
WACV15(494-501)
IEEE DOI 1503
Cameras BibRef

Zuo, W.M.[Wang-Meng], Ren, D.[Dongwei], Zhang, D., Gu, S.[Shuhang], Zhang, L.[Lei],
Learning Iteration-wise Generalized Shrinkage: Thresholding Operators for Blind Deconvolution,
IP(25), No. 4, April 2016, pp. 1751-1764.
IEEE DOI 1604
Deconvolution BibRef

Zuo, W.M.[Wang-Meng], Ren, D.[Dongwei], Gu, S.[Shuhang], Lin, L.[Liang], Zhang, L.[Lei],
Discriminative learning of iteration-wise priors for blind deconvolution,
CVPR15(3232-3240)
IEEE DOI 1510
BibRef

Ren, W., Tian, J., Tang, Y.,
Blind Deconvolution With Nonlocal Similarity and L_0 Sparsity for Noisy Image,
SPLetters(23), No. 4, April 2016, pp. 439-443.
IEEE DOI 1604
Cameras BibRef

Schuler, C.J.[Christian J.], Hirsch, M., Harmeling, S.[Stefan], Scholkopf, B.[Bernhard],
Learning to Deblur,
PAMI(38), No. 7, July 2016, pp. 1439-1451.
IEEE DOI 1606
Artificial neural networks BibRef

Burger, H.C.[Harold Christopher], Schuler, C.J.[Christian J.], Harmeling, S.[Stefan],
Learning How to Combine Internal and External Denoising Methods,
GCPR13(121-130).
Springer DOI 1311
BibRef

Schuler, C.J.[Christian J.], Burger, H.C.[Harold Christopher], Harmeling, S.[Stefan], Scholkopf, B.[Bernhard],
A Machine Learning Approach for Non-blind Image Deconvolution,
CVPR13(1067-1074)
IEEE DOI 1309
deblurring; deconvolution; learning; neural networks BibRef

Burger, H.C.[Harold C.], Schuler, C.J.[Christian J.], Harmeling, S.[Stefan],
Image denoising: Can plain neural networks compete with BM3D?,
CVPR12(2392-2399).
IEEE DOI 1208
See also Small Neural Networks can Denoise Image Textures Well: A Useful Complement to BM3D. BibRef

Zhuang, P.X.[Pei-Xian], Fu, X.Y.[Xue-Yang], Huang, Y.[Yue], Zeng, D.[Delu], Ding, X.H.[Xing-Hao],
A novel framework method for non-blind deconvolution using subspace images priors,
SP:IC(46), No. 1, 2016, pp. 17-28.
Elsevier DOI 1606
Non-blind deconvolution BibRef

Zhuang, P.X.[Pei-Xian], Fu, X.Y.[Xue-Yang], Huang, Y.[Yue], Ding, X.H.[Xing-Hao],
Image enhancement using divide-and-conquer strategy,
JVCIR(45), No. 1, 2017, pp. 137-146.
Elsevier DOI 1704
Image enhancement BibRef

Kara, F.[Fatih], Vural, C.[Cabir],
Blind restoration and resolution enhancement of images based on complex filtering,
SIViP(10), No. 6, June 2016, pp. 1159-1167.
WWW Link. 1608
BibRef

Liu, T.T.[Ting-Ting], Chen, Z.Z.[Zeng-Zhao], Liu, S.Y.[San-Yan], Zhang, Z.L.[Zhao-Li], Shu, J.B.[Jiang-Bo],
Blind image restoration with sparse priori regularization for passive millimeter-wave images,
JVCIR(40, Part A), No. 1, 2016, pp. 58-66.
Elsevier DOI 1609
Millimeter wave imaging BibRef

Wang, W.[Wei], Ng, M.K.[Michael K.],
Convex regularized inverse filtering methods for blind image deconvolution,
SIViP(10), No. 7, October 2016, pp. 1353-1360.
WWW Link. 1609
BibRef

Simões, M., Almeida, L.B., Bioucas-Dias, J., Chanussot, J.,
A Framework for Fast Image Deconvolution With Incomplete Observations,
IP(25), No. 11, November 2016, pp. 5266-5280.
IEEE DOI 1610
Boundary conditions BibRef

Song, Y.Y.[Ying-Ying], Brie, D.[David], Djermoune, E.H.[El-Hadi], Henrot, S.[Simon],
Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution,
IP(25), No. 11, November 2016, pp. 5316-5330.
IEEE DOI 1610
Convolution. BibRef

Wang, L., Chi, Y.,
Blind Deconvolution From Multiple Sparse Inputs,
SPLetters(23), No. 10, October 2016, pp. 1384-1388.
IEEE DOI 1610
convex programming BibRef

Qu, Y.[Ying], Koschan, A.[Andreas], Abidi, M.[Mongi],
Robust penalty-weighted deblurring via kernel adaption using single image,
JVCIR(41), No. 1, 2016, pp. 109-122.
Elsevier DOI 1612
Blind deconvolution BibRef

Badri, H.[Hicham], Yahia, H.[Hussein], Aboutajdine, D.,
Low-Rankness Transfer for Realistic Denoising,
IP(25), No. 12, December 2016, pp. 5768-5779.
IEEE DOI 1612
Gaussian noise BibRef

Badri, H.[Hicham], Yahia, H.[Hussein],
Handling noise in image deconvolution with local/non-local priors,
ICIP14(2644-2648)
IEEE DOI 1502
Convolution BibRef

Kotera, J.[Jan], Šmídl, V., Šroubek, F.[Filip],
Blind Deconvolution With Model Discrepancies,
IP(26), No. 5, May 2017, pp. 2533-2544.
IEEE DOI 1704
Bayes methods BibRef

Kotera, J.[Jan], Šroubek, F.[Filip], Milanfar, P.[Peyman],
Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors,
CAIP13(II:59-66).
Springer DOI 1311
BibRef

Yang, C.X.[Chang-Xing], Shao, W.Z.[Wen-Ze], Huang, L.L.[Li-Li],
Boosting normalized sparsity regularization for blind image deconvolution,
SIViP(11), No. 4, May 2017, pp. 681-688.
WWW Link. 1704
BibRef

Sonogashira, M.[Motoharu], Iiyama, M.[Masaaki], Minoh, M.[Michihiko],
Shift-Variant Blind Deconvolution Using a Field of Kernels,
IEICE(E100-D), No. 9, September 2017, pp. 1971-1983.
WWW Link. 1709
BibRef

Abboud, F.[Feriel], Chouzenoux, E.[Emilie], Pesquet, J.C.[Jean-Christophe], Chenot, J.H.[Jean-Hugues], Laborelli, L.[Louis],
Dual Block-Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences,
JMIV(59), No. 3, November 2017, pp. 415-431.
WWW Link. 1710
BibRef
Earlier:
A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences,
ICIP15(4917-4921)
IEEE DOI 1512
Proximity operator BibRef

Yuan, S., Wang, S., Ma, M., Ji, Y., Deng, L.,
Sparse Bayesian Learning-Based Time-Variant Deconvolution,
GeoRS(55), No. 11, November 2017, pp. 6182-6194.
IEEE DOI 1711
Attenuation, Bayes methods, Convolution, Deconvolution, Time-frequency analysis, Attenuation, Bayesian framework, inverse problems, sparse Bayesian learning (SBL), BibRef

Li, J., Luisier, F., Blu, T.,
PURE-LET Image Deconvolution,
IP(27), No. 1, January 2018, pp. 92-105.
IEEE DOI 1712
BibRef
Earlier:
Deconvolution of poissonian images with the PURE-LET approach,
ICIP16(2708-2712)
IEEE DOI 1610
Gaussian noise, Haar transforms, Wiener filters, deconvolution, image restoration, image segmentation, mean square error methods, unbiased risk estimate BibRef

Ren, D., Zuo, W., Zhang, D., Xu, J., Zhang, L.,
Partial Deconvolution With Inaccurate Blur Kernel,
IP(27), No. 1, January 2018, pp. 511-524.
IEEE DOI 1712
Computational modeling, Deconvolution, Estimation error, Kernel, Robustness, E-M algorithm, Image deblurring, blind deconvolution, blur kernel estimation BibRef


Zhang, Y., Lau, Y., Kuo, H.W., Cheung, S., Pasupathy, A., Wright, J.,
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution,
CVPR17(4381-4389)
IEEE DOI 1711
Convolution, Deconvolution, Geometry, Image restoration, Kernel, Microscopy, Optimization BibRef

Gong, D.[Dong], Tan, M.K.[Ming-Kui], Zhang, Y.N.[Yan-Ning], van den Hengel, A.J.[Anton J.], Shi, Q.F.[Qin-Feng],
Blind Image Deconvolution by Automatic Gradient Activation,
CVPR16(1827-1836)
IEEE DOI 1612
BibRef

Shaham, T.R.[Tamar Rott], Michaeli, T.[Tomer],
Visualizing Image Priors,
ECCV16(VI: 136-153).
Springer DOI 1611
BibRef

Fuyun, H.[He], Zhisheng, Z.[Zhang],
Bayesian image blind restoration based on differential evolution optimization,
ICIVC16(15-18)
IEEE DOI 1610
Bayes methods BibRef

Fujisawa, T., Ikehara, M.,
Blind image deconvolution using specified HPF for feature extraction and conjugate gradient method in frequency domain,
ICIP16(2713-2717)
IEEE DOI 1610
Convolution BibRef

Aouinti, F., Nasri, M., Moussaoui, M., Benchaou, S., Zinedine, K.,
Satellite Image Restoration by Applying the Genetic Approach to the Wiener Deconvolution,
CGiV16(57-61)
IEEE DOI 1608
deconvolution BibRef

Alkhaldi, N.[Nora], Winkler, J.[Joab],
Blind image deconvolution using the Sylvester resultant matrix,
ICIP15(784-788)
IEEE DOI 1512
Image restoration BibRef

Zhou, X.[Xu], Zhou, F.[Fugen], Bai, X.Z.[Xiang-Zhi],
Parameter estimation for LP regularized image deconvolution,
ICIP15(4892-4896)
IEEE DOI 1512
Bayesian methods BibRef

Hanocka, R.[Rana], Kiryati, N.[Nahum],
Progressive Blind Deconvolution,
CAIP15(II:313-325).
Springer DOI 1511
BibRef

Köhler, T.[Thomas], Maier, A.[Andreas], Christlein, V.[Vincent],
Binarization Driven Blind Deconvolution for Document Image Restoration,
GCPR15(91-102).
Springer DOI 1511
BibRef

Zenati, S., Boukrouche, A., Neveux, P.,
Deconvolution for slowly time-varying systems 3D cases,
IPTA12(121-126)
IEEE DOI 1503
Kalman filters BibRef

Zhou, X.[Xu], Molina, R.[Rafael], Zhou, F.[Fugen], Katsaggelos, A.K.[Aggelos K.],
Fast iteratively reweighted least squares for Lp regularized image deconvolution and reconstruction,
ICIP14(1783-1787)
IEEE DOI 1502
Approximation methods BibRef

Portilla, J.[Javier],
Maximum likelihood extension for non-circulant deconvolution,
ICIP14(4276-4279)
IEEE DOI 1502
Deconvolution BibRef

Filho, J.M.[Joao Mendes], Miranda, M.D.[Maria D.], Silva, M.T.M.[Magno T.M.],
A regional multimodulus algorithm for blind image deconvolution,
ICIP14(4512-4516)
IEEE DOI 1502
Blind equalizers BibRef

Zhang, G.[Ganchi], Roberts, T.D.[Timothy D.], Kingsbury, N.[Nick],
Image deconvolution using tree-structured Bayesian group sparse modeling,
ICIP14(4537-4541)
IEEE DOI 1502
Approximation methods BibRef

Lorenz, D.A.[Dirk A.], Wenger, S.[Stephan], Schopfer, F.[Frank], Magnor, M.[Marcus],
A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing,
ICIP14(1347-1351)
IEEE DOI 1502
Compressed sensing BibRef

Gogna, A., Shukla, A., Agarwal, H.K., Majumdar, A.,
Split Bregman algorithms for sparse/joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging,
ICIP14(1302-1306)
IEEE DOI 1502
Algorithm design and analysis BibRef

Sun, L.[Libin], Cho, S.H.[Sung-Hyun], Wang, J.[Jue], Hays, J.[James],
Good Image Priors for Non-blind Deconvolution,
ECCV14(IV: 231-246).
Springer DOI 1408
BibRef

Xu, L.[Li], Tao, X.[Xin], Jia, J.Y.[Jia-Ya],
Inverse Kernels for Fast Spatial Deconvolution,
ECCV14(V: 33-48).
Springer DOI 1408
BibRef

Zhou, X.[Xu], Zhou, F.[Fugen], Bai, X.Z.[Xiang-Zhi],
Blind deconvolution using a nondimensional Gaussianity measure,
ICIP13(877-881)
IEEE DOI 1402
Cameras BibRef

Calef, B.[Brandoch],
Iteratively reweighted blind deconvolution,
ICIP13(1391-1393)
IEEE DOI 1402
Blind deconvolution;image reconstruction;robust estimation BibRef

Morin, R.[Renaud], Bidon, S.[Stephanie], Basarab, A.[Adrian], Kouame, D.[Denis],
Semi-blind deconvolution for resolution enhancement in ultrasound imaging,
ICIP13(1413-1417)
IEEE DOI 1402
Resolution enhancement BibRef

Schmidt, U.[Uwe], Roth, S.[Stefan],
Shrinkage Fields for Effective Image Restoration,
CVPR14(2774-2781)
IEEE DOI 1409
BibRef

Sellent, A.[Anita], Rother, C.[Carsten], Roth, S.[Stefan],
Stereo Video Deblurring,
ECCV16(II: 558-575).
Springer DOI 1611
BibRef

Schmidt, U.[Uwe], Rother, C.[Carsten], Nowozin, S.[Sebastian], Jancsary, J.[Jeremy], Roth, S.[Stefan],
Discriminative Non-blind Deblurring,
CVPR13(604-611)
IEEE DOI 1309
BibRef

Komodakis, N.[Nikos], Paragios, N.[Nikos],
MRF-Based Blind Image Deconvolution,
ACCV12(III:361-374).
Springer DOI 1304
BibRef

Wang, F.[Fang], Li, Y.[Yi],
Robust kernel estimation for single image blind deconvolution,
ICPR12(481-484).
WWW Link. 1302
BibRef

Turnes, C.K.[Christopher K.], Balcan, D.[Doru], Romberg, J.K.[Justin K.],
Image deconvolution via superfast inversion of a class of two-level Toeplitz matrices,
ICIP12(3073-3076).
IEEE DOI 1302
BibRef

Xia, W.[Wenyao], Hatzinakos, D.[Dimitrios],
An efficient projected subgradient algorithm for blind image deconvolution using an L1-TV cost function,
ICIP12(3045-3048).
IEEE DOI 1302
BibRef

Cho, S.H.[Sung-Hyun], Wang, J.[Jue], Lee, S.Y.[Seung-Yong],
Handling outliers in non-blind image deconvolution,
ICCV11(495-502).
IEEE DOI 1201
Deblurring. Non-linear blurring BibRef

Dolui, S.[Sudipto], Michailovich, O.V.[Oleg V.],
Hybrid blind deconvolution of images using variable splitting and proximal point methods,
ICIP11(2709-2712).
IEEE DOI 1201
BibRef

Krishnan, D.[Dilip], Tay, T.[Terence], Fergus, R.[Rob],
Blind deconvolution using a normalized sparsity measure,
CVPR11(233-240).
IEEE DOI 1106
BibRef

Zou, L.[Le], Zhou, H.[Howard], Cheng, S.[Samuel], He, C.[Chuan],
Dual Range Deringing for non-blind image deconvolution,
ICIP10(1701-1704).
IEEE DOI 1009
BibRef

Cho, S.H.[Sung-Hyun], Lee, H.J.[Hyun-Jun], Lee, S.Y.[Seung-Yong],
Image decomposition using deconvolution,
ICIP10(1965-1968).
IEEE DOI 1009
BibRef

Hou, T.B.[Ting-Bo], Wang, S.[Sen], Qin, H.[Hong], Miller, R.L.[Rodney L.],
Image deconvolution using multigrid natural image prior and its applications,
ICIP10(3569-3572).
IEEE DOI 1009
BibRef

Tanaka, M.[Masayuki], Kanda, T.[Takafumi], Okutomi, M.[Masatoshi],
Progressive MAP-based Deconvolution with Pixel-Dependent Gaussian Prior,
ICPR10(4428-4431).
IEEE DOI 1008
BibRef

Fan, F.[Fan], Yang, K.C.[Ke-Cheng], Fu, B.[Bo], Xia, M.[Min], Zhang, W.[Wei],
Application of blind deconvolution approach with image quality metric in underwater image restoration,
IASP10(236-239).
IEEE DOI 1004
BibRef

Tian, H.[Hui], Shen, T.Z.[Ting-Zhi], Hao, B.[Bing], Hu, Y.[Yu], Yang, N.[Nan],
Image Restoration Based on Adaptive MCMC Particle Filter,
CISP09(1-5).
IEEE DOI 0910
BibRef

Bishop, T.E.[Tom E.], Molina, R.[Rafael], Hopgood, J.R.[James R.],
Blind restoration of blurred photographs via AR modelling and MCMC,
ICIP08(669-672).
IEEE DOI 0810
BibRef

Vonesch, C.[Cedric], Ramani, S.[Sathish], Unser, M.[Michael],
Recursive risk estimation for non-linear image deconvolution with a wavelet-domain sparsity constraint,
ICIP08(665-668).
IEEE DOI 0810
BibRef

Soulez, F.[Ferreol], Thiebaut, E.[Eric], Tourneur, Y.[Yves], Gressard, A.[Alain], Dauphin, R.[Raphael],
Blind deconvolution of video sequences,
ICIP08(673-676).
IEEE DOI 0810
BibRef

Liu, R.[Renting], Jia, J.Y.[Jia-Ya],
Reducing boundary artifacts in image deconvolution,
ICIP08(505-508).
IEEE DOI 0810
BibRef

Jain, V.[Viren], Murray, J.F.[Joseph F.], Roth, F.[Fabian], Turaga, S.[Srinivas], Zhigulin, V.[Valentin], Briggman, K.L.[Kevin L.], Helmstaedter, M.N.[Moritz N.], Denk, W.[Winfried], Seung, H.S.[H. Sebastian],
Supervised Learning of Image Restoration with Convolutional Networks,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Welk, M.[Martin], Nagy, J.G.[James G.],
Variational Deconvolution of Multi-channel Images with Inequality Constraints,
IbPRIA07(I: 386-393).
Springer DOI 0706
BibRef

Raj, A.[Ashish], Zabih, R.[Ramin],
A Graph Cut Algorithm for Generalized Image Deconvolution,
ICCV05(II: 1048-1054).
IEEE DOI 0510
BibRef

Welk, M.[Martin], Theis, D.[David], Brox, T.[Thomas], Weickert, J.[Joachim],
PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors,
ScaleSpace05(585-597).
Springer DOI 0505
BibRef

Homem, M.R.P., Mascarenhas, N.D.A., Costa, L.F.,
Linear filters for deconvolution microscopy,
Southwest04(142-146).
WWW Link. 0411
BibRef

Dias, J.M.B.,
Fast gem wavelet-based image deconvolution algorithm,
ICIP03(II: 961-964).
IEEE DOI 0312
BibRef

Starck, J.L., Nguyen, M.K., Murtagh, F.,
Deconvolution based on the curvelet transform,
ICIP03(II: 993-996).
IEEE DOI 0312
BibRef

Yamada, I.[Isao], Kato, M.[Masanori], Sakaniwa, K.[Kohichi],
A Nonlinear Pre-filtering Technique for Set-Theoretic Linear Blind Deconvolution Scheme,
ICIP99(II:401-405).
IEEE DOI BibRef 9900

Neelamani, R.N.[Ramesh N.], Choi, H.H.[Hyeok-Ho], Baraniuk, R.G.[Ricard G.],
Wavelet-Domain Regularized Deconvolution for Ill-Conditioned Systems,
ICIP99(I:204-208).
IEEE DOI BibRef 9900

Kwan, W.C.[Wilson C.], Ng, M.K.[Michael K.],
Iterative Methods for Phase Diversity-based Blind Deconvolution in Atmospheric Optics,
ICIP99(I:198-200).
IEEE DOI BibRef 9900

Šimberová, S.[Stanislava], Suk, T.[Tomáš],
Digital processing of skylab X-ray images of the solar corona,
CAIP93(759-765).
Springer DOI 9309
BibRef

Biggs, D.S.C., and Andrews, M.,
Iterative Blind Deconvolution of Extended Objects,
ICIP97(II: 454-457).
IEEE DOI 9710
BibRef

Robini, M.C., Rastello, T., Vray, D., and Magnin, I.E.,
Space-Variant Deconvolution for Synthetic Aperture Imaging Using Simulated Annealing,
ICIP97(I: 432-435).
IEEE DOI BibRef 9700

Schulz, T.J.[Timothy J.], Miller, J.J., Stribling, B.E.,
Phase-error compensation through multiframe blind deconvolution,
ICIP96(III: 101-103).
IEEE DOI BibRef 9600

Hawkins, W.G., Leichner, P.K.,
An intrinsic 3D Wiener filter for the deconvolution of spatially varying collimator blur,
ICIP94(II: 163-167).
IEEE DOI 9411
BibRef

Yang, Y.Y.[Yong-Yi], Galatsanos, N.P., Stark, H.,
Gradient-projection blind deconvolution,
ICIP94(III: 192-196).
IEEE DOI 9411
BibRef

Molina, R., Ripley, B.D., Cortijo, F.J.,
On the Bayesian deconvolution of planets,
ICPR92(III:147-150).
IEEE DOI 9208
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Color, Multispectral, Multi-Channel Restoration .


Last update:Dec 7, 2017 at 17:23:10