18.4.3.16 Deblurring, Gaussian Blur, Other Blur Kernels

Chapter Contents (Back)
Deblurring. Blur. Gaussian Blur. Restoration.
See also Blind Image Deblurring.
See also Video Super-Resolution, Resolution Enhancement.
See also Restoration from Blurred Images, Motion Blur.

Frieden, B.R.,
Restoring with Maximum Likelihood and Maximum Entropy,
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Frieden, B.R., Burke, J.J.,
Restoring with Maximum Entropy II: Superresolution of Photographs of Diffractions Blurred Impulses,
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Vasu, R.M., Rogers, G.L.,
Image Deblurring with Computer Generated double Phase Holograms,
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Elsevier DOI BibRef 8100

Bracewell, R.N.,
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Misra, R.[Rachita],
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Hummel, R.A.[Robert A.], Kimia, B.B., Zucker, S.W.[Steven W.],
Deblurring Gaussian Blur,
CVGIP(38), No. 1, April 1987, pp. 66-80.
Elsevier DOI BibRef 8704
Earlier:
Gaussian Blur And The Heat Equation: Forward And Inverse Solutions,
CVPR85(668-671). BibRef
Earlier: A2, A3 only: First title, CVPR83(416-421). BibRef

Kimia, B.B., Zucker, S.W.,
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Martens, J.B.[Jean-Bernard],
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Johnson, V.E., Wong, W.H., Hu, X., and Chen, C.T.,
Image Restoration Using Gibbs Priors: Boundary Modeling, Treatment of Blurring, and Selection of Hyperparameter,
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IEEE DOI BibRef 9105

Snyder, D.L., Schulz, T.J., and O'Sullivan, J.A.,
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Guan, L., Ward, R.K.,
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IEEE DOI 0402
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Reeves, S.J., Mersereau, R.M.,
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Chang, M.M., Tekalp, A.M., and Erdem, A.T.,
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Sezan, M.I., Pavlovic, G., Tekalp, A.M., Erdem, A.T.,
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Pavlovic, G., Tekalp, A.M.,
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Ward, R.K.,
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Vairy, M.[Madhu], Venkatesh, Y.V.,
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Koch, S., Kaufman, H., Biemond, J.,
Restoration of spatially varying blurred images using multiple model-based extended Kalman filters,
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Russo, F., Ramponi, G.,
A fuzzy operator for the enhancement of blurred and noisy images,
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Anarim, E., Ucar, H., Istefanopulos, Y.,
Identification of image and blur parameters in frequency domain using the EM algorithm,
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IEEE DOI 0402
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Fish, D.A., Grochmalicki, J., Pike, E.R.,
Scanning Singular-Value-Decomposition Method for Restoration of Images with Space-Variant Blur,
JOSA-A(13), No. 3, March 1996, pp. 464-469. SVD. BibRef 9603

Cohen, J.M., Colonna, F., Picardello, M.A.,
Image Recovery from Exponential Blurring,
CSSP(15), No. 2, 1996, pp. 261-274. BibRef 9600

You, Y.L.[Yu-Li], Kaveh, M.,
A Regularization Approach to Joint Blur Identification and Image Restoration,
IP(5), No. 3, March 1996, pp. 416-428.
IEEE DOI BibRef 9603
Earlier:
A simple algorithm for joint blur identification and image restoration,
ICIP94(III: 167-171).
IEEE DOI 9411
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Tekalp, A.M., Kaufman, H., Woods, J.W.,
Identification of Image and Blur Parameters for the Restoration of Noncausal Blurs,
ASSP(34), No. 8, August 1986, pp. 963-972. BibRef 8608

Tekalp, A.M., Kaufman, H.,
On statistical identification of a class of linear space-invariant image blurs using non-minimum phase ARMA models,
ASSP(36), No. 8, August 1988, pp. 1360-1363. BibRef 8808

Mair, B.A., Reti, Z., Wilson, D.C., Geiser, E.A., David, B.,
A Q-Series Approach to Deblurring the Discrete Gaussian,
CVIU(66), No. 2, May 1997, pp. 247-254.
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Mair, B.A., Wilson, D.C., Reti, Z.,
Deblurring the Gaussian Blur,
MMBIA96(DEFORMABLE MODELS II) BibRef 9600

Younes, L.[Laurent],
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PAMI(20), No. 4, April 1998, pp. 380-390.
IEEE DOI 9806
BibRef
Earlier:
Synchronous image restoration,
ECCV94(B:213-217).
Springer DOI 9405
Uses detected edges to reduce blurring. BibRef

Liou, C.Y., Tai, W.P.,
Maximum a Posteriori Restoration of Blurred Images Using Self-Organization,
JEI(7), No. 1, January 1998, pp. 86-93. 9807
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Torres, L., Bourennane, E., Robert, M., Paindavoine, M.,
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RealTimeImg(4), No. 3, June 1998, pp. 181-191. 9807
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Chan, R.H., Chan, T.F., Wong, C.K.,
Cosine Transform Based Preconditioners for Total Variation Deblurring,
IP(8), No. 10, October 1999, pp. 1472-1478.
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Mesarovi, V.Z.[Vladimir Z.], Galatsanos, N.P.[Nikolas P.], Wernick, M.N.[Miles N.],
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Galatsanos, N.P., Mesarovic, V.Z., Molina, R., Katsaggelos, A.K.,
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Chantas, G., Galatsanos, N.P., Molina, R., Katsaggelos, A.K.,
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IP(19), No. 2, February 2010, pp. 351-362.
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Saafin, W.[Wael], Vega, M.[Miguel], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Image super-resolution from compressed sensing observations,
ICIP15(4268-4272)
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Super resolution BibRef

Villena, S.[Salvador], Vega, M.[Miguel], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
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Amro, I.[Israa], Mateos, J.[Javier], Vega, M.[Miguel],
Parameter estimation in Bayesian super-resolution pansharpening using contourlets,
ICIP11(1345-1348).
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Earlier:
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ICIP10(809-812).
IEEE DOI 1009
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Villena, S.[Salvador], Vega, M.[Miguel], Babacan, S.D.[S. Derin], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
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Molina, R.[Rafael], Vega, M.[Miguel], Mateos, J., Katsaggelos, A.K.[Aggelos K.],
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ICIP06(1749-1752).
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Vega, M.[Miguel], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Bayesian Reconstruction of Color Images Acquired with a Single CCD,
IbPRIA05(I:343).
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Galatsanos, N.P., Molina, R., Mesarovic, V.Z.,
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ICIP98(II: 93-97).
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Kennedy, L.M.[Lesa M.], Basu, M.[Mitra],
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Panchapakesan, K., Sheppard, D.G., Marcellin, M.W., Hunt, B.R.,
Blur Identification from Vector Quantizer Encoder Distortion of the PSF from Vector Quantizer Encoder Distortion,
IP(10), No. 3, March 2001, pp. 465-470.
IEEE DOI 0104
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Earlier:
Blur identification from vector quantizer encoder distortion,
ICIP98(III: 751-755).
IEEE DOI 9810
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Premaratne, P., Ko, C.C.,
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Immerkaer, J.,
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CVIU(64), No. 2, September 1996, pp. 300-302.
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See also Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image. BibRef 9609

Immerkaer, J.,
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IEEE DOI 0106
Variance rather than standard deviation to estimate unblurred image. BibRef

Bedini, L.[Luigi], del Corso, G.M.[Gianna M.], Tonazzini, A.[Anna],
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Rajan, D.[Deepu], Chaudhuri, S.[Subhasis],
An MRF-Based Approach to Generation of Super-Resolution Images from Blurred Observations,
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Su, M.[Min], Basu, M.[Mitra],
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Elsevier DOI 0209
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Liang, L.[Lei], Xu, Y.C.[Yuan-Chang],
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IEEE Top Reference. 0304
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Candela, V.F., Marquina, A., Serna, S.,
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Abubakar, A., van den Berg, P.M., Habashy, T.M., Braunisch, H.,
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IEEE DOI 0411
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Ng, M.K.[Michael K.], Sze, C.K., Yung, S.P.,
Wavelet algorithms for deblurring models,
IJIST(14), No. 3, 2004, pp. 113-121.
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Katkovnik, V., Egiazarian, K.O., Astola, J.T.,
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IP(14), No. 10, October 2005, pp. 1469-1478.
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Danielyan, A., Vehvilainen, M., Foi, A., Katkovnik, V., Egiazarian, K.O.,
Cross-color BM3D filtering of noisy raw data,
LNLA09(125-129).
IEEE DOI 0908
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Foi, A., Alenius, S., Trimeche, M., Katkovnik, V., Egiazarian, K.O.,
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ICIP05(I: 925-928).
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Egiazarian, K.O.[Karen O.], Foi, A.[Alessandro], Katkovnik, V.[Vladimir],
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See also Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction. BibRef

Danielyan, A.[Aram], Katkovnik, V.[Vladimir], Egiazarian, K.O.[Karen O.],
BM3D Frames and Variational Image Deblurring,
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Earlier: A2, A1, A3:
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Katkovnik, V.[Vladimir], Egiazarian, K.O.[Karen O.],
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Ng, M.K.[Michael K.], Yau, A.C.[Andy C.],
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Bose, N.K., Kim, H.C., Zhou, B.,
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Bose, N.K.,
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AIPR03(81-86).
IEEE DOI 0310
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Ching, W.K.[Wai-Ki], Ng, M.K.[Michael K.], Sze, K.N.[Kenton N.], Yau, A.C.[Andy C.],
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IJIST(13), No. 3, 2003, pp. 153-160.
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Bar, L.[Leah], Kiryati, N.[Nahum], Sochen, N.A.[Nir A.],
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IJCV(70), No. 3, December 2006, pp. 279-298.
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Earlier: A1, A3, A2:
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ScaleSpace05(107-118).
Springer DOI 0505
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Bar, L.[Leah], Brook, A.[Alexander], Sochen, N.A.[Nir A.], Kiryati, N.[Nahum],
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IEEE DOI 0704
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Krishnan, D., Lin, P., Yip, A.M.,
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Aubailly, M., Roggemann, M.C., Schulz, T.J.,
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AppOpt(46), 2007, pp. 6055-6063. 1511
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Yang, H., Gao, J., Wu, Z.,
Blur Identification and Image Super-Resolution Reconstruction Using an Approach Similar to Variable Projection,
SPLetters(15), No. 1, 2008, pp. 289-292.
IEEE DOI 0803
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Popkin, T.[Timothy], Cavallaro, A.[Andrea], Hands, D.[David],
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IEEE DOI 1201
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Popkin, T.[Timothy], Cavallaro, A.[Andrea], Hands, D.[David],
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Lou, Y.F.[Yi-Fei], Bertozzi, A.L.[Andrea L.], Soatto, S.[Stefano],
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Jung, M.Y.[Mi-Youn], Bresson, X.[Xavier], Chan, T.F.[Tony F.], Vese, L.A.[Luminita A.],
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Color Image Restoration Using Nonlocal Mumford-Shah Regularizers,
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Jung, M.Y.[Mi-Youn], Vese, L.A.[Luminita A.],
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Park, H.[Hanhoon], Mitsumine, H.[Hideki], Fujii, M.[Mahito],
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Xiang, S.M.[Shi-Ming], Meng, G.F.[Gao-Feng], Wang, Y.[Ying], Pan, C.H.[Chun-Hong], Zhang, C.S.[Chang-Shui],
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Elsevier DOI 1202
Image deblurring; Interactive deblurring; Matrix regression; Gradient evolution; Supervised learning
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Xiang, S.M.[Shi-Ming], Meng, G.F.[Gao-Feng], Wang, Y.[Ying], Pan, C.H.[Chun-Hong], Zhang, C.S.[Chang-Shui],
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Chen, D.Q.[Dai-Qiang], Zhang, H.[Hui], Cheng, L.Z.[Li-Zhi],
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Zhu, X.[Xiang], Cohen, S., Schiller, S., Milanfar, P.,
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Ma, L., Yu, J., Zeng, T.,
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deconvolution, edge detection, image restoration, image texture, optimisation, blurred image deconvolution, Optical blur BibRef

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deconvolution BibRef

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Gaussian processes BibRef

Chen, S.J.[Shu-Jie], Shen, H.L.[Hui-Liang],
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La Camera, A.[Andrea], Schreiber, L.[Laura],
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SPIE(Newsroom), September 16, 2015
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Denis, L.[Loïc], Thiébaut, E.[Eric], Soulez, F.[Ferréol], Becker, J.M.[Jean-Marie], Mourya, R.[Rahul],
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Springer DOI 1512
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Zhou, X.[Xu], Mateos, J., Zhou, F.[Fugen], Molina, R., Katsaggelos, A.K.,
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Serra, J.G., Mateos, J., Molina, R., Katsaggelos, A.K.,
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ICIP17(3765-3769)
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Approximation algorithms, Bayes methods, Biological system modeling, Deconvolution, Estimation, Kernel, Slabs, variational Bayesian approach BibRef

Mateos, J., López, A., Vega, M., Molina, R., Katsaggelos, A.K.,
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation,
ICIP16(2678-2682)
IEEE DOI 1610
Deconvolution BibRef

Li, L., Lin, W., Wang, X., Yang, G., Bahrami, K., Kot, A.C.,
No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments,
Cyber(46), No. 1, January 2016, pp. 39-50.
IEEE DOI 1601
Image edge detection BibRef

Flusser, J.[Jan], Farokhi, S.[Sajad], Höschl, IV, C.[Cyril], Suk, T.[Tomáš], Zitova, B., Pedone, M.,
Recognition of Images Degraded by Gaussian Blur,
IP(25), No. 2, February 2016, pp. 790-806.
IEEE DOI 1601
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Earlier: A1, A4, A2, A3, Only: CAIP15(I:88-99).
Springer DOI 1511
Character recognition BibRef

Sroubek, F.[Filip], Kamenicky, J., Lu, Y.M.,
Decomposition of Space-Variant Blur in Image Deconvolution,
SPLetters(23), No. 3, March 2016, pp. 346-350.
IEEE DOI 1603
convolution BibRef

Jang, J.[Jinhyeok], Yun, J.D.[Joo Dong], Yang, S.[Seungjoon],
Modeling Non-Stationary Asymmetric Lens Blur by Normal Sinh-Arcsinh Model,
IP(25), No. 5, May 2016, pp. 2184-2195.
IEEE DOI 1604
cameras BibRef

Kim, S.[Soowoong], Gwak, M.[Moonsung], Yang, S.J.[Seung-Joon],
Non-stationary deep network for restoration of non-Stationary lens blur,
PRL(108), 2018, pp. 62-69.
Elsevier DOI 1805
Deep learning, Restoration, Non-stationary blur, Lens blur, BibRef

Ren, W.[Wenqi], Cao, X.C.[Xiao-Chun], Pan, J.S.[Jin-Shan], Guo, X.J.[Xiao-Jie], Zuo, W.M.[Wang-Meng], Yang, M.H.[Ming-Hsuan], \
Image Deblurring via Enhanced Low-Rank Prior,
IP(25), No. 7, July 2016, pp. 3426-3437.
IEEE DOI 1606
Approximation algorithms BibRef

Ren, W.[Wenqi], Pan, J.S.[Jin-Shan], Cao, X.C.[Xiao-Chun], Yang, M.H.[Ming-Hsuan],
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-linear Kernel,
ICCV17(1086-1094)
IEEE DOI 1802
image motion analysis, image restoration, image segmentation, image sequences, video signal processing, blur kernel, blur model, Optical vortices BibRef

Ospina-Borras, J.E., Restrepo, H.D.B.[Hernan Darío Benítez],
Non-reference assessment of sharpness in blur/noise degraded images,
JVCIR(39), No. 1, 2016, pp. 142-151.
Elsevier DOI 1608
Singular value decomposition BibRef

Chang, C.H.[Chih-Hsiang], Kehtarnavaz, N.[Nasser],
Computationally efficient image deblurring using low rank image approximation and its GPU implementation,
RealTimeIP(12), No. 3, October 2016, pp. 567-573.
WWW Link. 1610
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Pang, Y., Zhu, H., Li, X., Li, X.,
Classifying Discriminative Features for Blur Detection,
Cyber(46), No. 10, October 2016, pp. 2220-2227.
IEEE DOI 1610
feature extraction BibRef

Li, L.[Leida], Yan, Y.[Ya], Fang, Y.M.[Yu-Ming], Wang, S.[Shiqi], Tang, L.[Lu], Qian, J.S.[Jian-Sheng],
Perceptual quality evaluation for image defocus deblurring,
SP:IC(48), No. 1, 2016, pp. 81-91.
Elsevier DOI 1609
Image quality assessment BibRef

Tang, C.[Chang], Wu, J.[Jin], Hou, Y.H.[Yong-Hong], Wang, P.C.[Pi-Chao], Li, W.Q.[Wan-Qing],
A Spectral and Spatial Approach of Coarse-to-Fine Blurred Image Region Detection,
SPLetters(23), No. 11, November 2016, pp. 1652-1656.
IEEE DOI 1609
image motion analysis BibRef

Xie, Z.P.[Zhi-Peng],
A primal-dual method with linear mapping for a saddle point problem in image deblurring,
JVCIR(42), No. 1, 2017, pp. 112-120.
Elsevier DOI 1701
Total variational image deblurring BibRef

Cho, S.H.[Sung-Hyun], Wang, J.[Jue], Lee, S.Y.[Seung-Yong],
Video deblurring for hand-held cameras using patch-based synthesis,
TOG(31), 2012, pp. 64:1-64:9
DOI Link 1704
Related code:
See also Implementation of Local Fourier Burst Accumulation for Video Deblurring. BibRef

Su, S.C.[Shuo-Chen], Delbracio, M.[Mauricio], Wang, J.[Jue], Sapiro, G.[Guillermo], Heidrich, W.[Wolfgang], Wang, O.[Oliver],
Deep Video Deblurring for Hand-Held Cameras,
CVPR17(237-246)
IEEE DOI 1711
Adaptive optics, Cameras, Data models, Estimation, Kernel, Optical imaging, Training BibRef

Yue, T.[Tao], Cho, S.[Sunghyun], Wang, J.[Jue], Dai, Q.H.[Qiong-Hai],
Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information,
ECCV14(VII: 79-93).
Springer DOI 1408
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Anwar, S., Porikli, F.M.[Fatih Murat], Huynh, C.P.,
Category-Specific Object Image Denoising,
IP(26), No. 11, November 2017, pp. 5506-5518.
IEEE DOI 1709
Databases, Face, Image denoising, Noise measurement, Noise reduction, Robustness, Transforms, Denoising, category-specific denoising. Band-pass filters. BibRef

Anwar, S.[Saeed], Huynh, C.P.[Cong Phuoc], Porikli, F.M.[Fatih M.],
Image Deblurring with a Class-Specific Prior,
PAMI(41), No. 9, Sep. 2019, pp. 2112-2130.
IEEE DOI 1908
BibRef
Earlier:
Class-Specific Image Deblurring,
ICCV15(495-503)
IEEE DOI 1602
Kernel, Image edge detection, Image restoration, Training, Band-pass filters, Deconvolution, Cameras, Image deblurring, class prior BibRef

Takeyama, S.[Saori], Ono, S.[Shunsuke], Kumazawa, I.[Itsuo],
Image Restoration with Multiple Hard Constraints on Data-Fidelity to Blurred/Noisy Image Pair,
IEICE(E100-D), No. 9, September 2017, pp. 1953-1961.
WWW Link. 1709
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Mosleh, A., Elmi Sola, Y., Zargari, F., Onzon, E., Langlois, J.M.P.,
Explicit Ringing Removal in Image Deblurring,
IP(27), No. 2, February 2018, pp. 580-593.
IEEE DOI 1712
Cameras, Deconvolution, Image restoration, Optimization, TV, Deconvolution, image deblurring, saturation BibRef

Korolev, Y.[Yury], Lellmann, J.[Jan],
Image Reconstruction with Imperfect Forward Models and Applications in Deblurring,
SIIMS(11), No. 1, 2018, pp. 197-218.
DOI Link 1804
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Kang, M.[Myeongmin], Jung, M.[Miyoun], Kang, M.[Myungjoo],
Rician denoising and deblurring using sparse representation prior and nonconvex total variation,
JVCIR(54), 2018, pp. 80-99.
Elsevier DOI 1806
Rician denoising, Deblurring, Sparse representation, Dictionary learning, Nonconvex total variation, Alternating minimization method BibRef

Ma, K.[Kede], Fu, H.[Huan], Liu, T.L.[Tong-Liang], Wang, Z.[Zhou], Tao, D.C.[Da-Cheng],
Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks,
IP(27), No. 10, October 2018, pp. 5155-5166.
IEEE DOI 1808
Really an analsis of what local blur means in HVS. Semantics, Image segmentation, Task analysis, Benchmark testing, Image restoration, Computer architecture, Training, blur perception BibRef

Nakhaei, A.A.[Arash Ashtari], Helfroush, M.S.[Mohammad Sadegh], Danyali, H.[Habibollah], Ghanbari, M.[Mohammed],
Subjectively correlated estimation of noise due to blurriness distortion based on auto-regressive model using the Yule-Walker equations,
IET-IPR(12), No. 10, October 2018, pp. 1788-1796.
DOI Link 1809
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Anger, J.[Jérémy], Facciolo, G.[Gabriele], Delbracio, M.[Mauricio],
Estimating an Image's Blur Kernel Using Natural Image Statistics, and Deblurring it: An Analysis of the Goldstein-Fattal Method,
IPOL(8), 2018, pp. 282-304.
DOI Link 1810
Code, Blur.
See also Blur-Kernel Estimation from Spectral Irregularities. BibRef

Anger, J.[Jeremy], Facciolo, G.[Gabriele], Delbracio, M.[Mauricio],
Blind Image Deblurring using the l0 Gradient Prior,
IPOL(9), 2019, pp. 124-142.
DOI Link 1904
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Yang, C.W.[Chen-Wei], Feng, H.J.[Hua-Jun], Xu, Z.[Zhihai], Li, Q.[Qi], Chen, Y.[Yueting],
The spatial correlation problem of noise in imaging deblurring and its solution,
JVCIR(56), 2018, pp. 167-176.
Elsevier DOI 1811
Spatial correlation coefficient, Noise probability distribution model, Colour interpolation, Image deblurring BibRef

Gillibert, L.[Luc], Chabardès, T.[Théodore], Marcotegui, B.[Beatriz],
Local multiscale blur estimation based on toggle mapping for sharp region extraction,
IET-IPR(12), No. 12, December 2018, pp. 2138-2146.
DOI Link 1812
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Jeyaprakash, A.[Amudha], Radhakrishnan, S.[Sudhakar],
Linearly uncorrelated principal component and deep convolutional image deblurring for natural images,
IET-IPR(13), No. 1, January 2019, pp. 49-56.
DOI Link 1812
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Wang, X.W.[Xue-Wei], Liang, X.[Xiao], Zheng, J.J.[Jin-Jin], Zhou, H.J.[Hong-Jun],
Fast detection and segmentation of partial image blur based on discrete Walsh-Hadamard transform,
SP:IC(70), 2019, pp. 47-56.
Elsevier DOI 1812
Segmentation, Partial blur, Re-blur, Walsh-Hadamard transform, Blur map, Blur detection. BibRef

Wang, R.[Rui], Li, W.[Wei], Li, R.[Rui], Zhang, L.[Liang],
Automatic blur type classification via ensemble SVM,
SP:IC(71), 2019, pp. 24-35.
Elsevier DOI 1901
Blur image classification, Support vector machine-recursive feature elimination (SVM-RFE), Ensemble SVM classifier BibRef

Yang, Q.[Qi], Zhang, Y.Z.[Yan-Zhu], Zhao, T.B.[Tie-Biao],
Example-based image super-resolution via blur kernel estimation and variational reconstruction,
PRL(117), 2019, pp. 83-89.
Elsevier DOI 1901
Super-resolution, Blur kernel estimation, Fractional-order, Image reconstruction BibRef

Li, T.H.[Tai-Hao], Chen, H.[Huai], Zhang, M.[Min], Liu, S.P.[Shu-Peng], Xia, S.R.[Shun-Ren], Cao, X.H.[Xin-Hua], Young, G.S.[Geoffrey S.], Xu, X.Y.[Xiao-Yin],
A new design in iterative image deblurring for improved robustness and performance,
PR(90), 2019, pp. 134-146.
Elsevier DOI 1903
Image deblurring, Image restoration, Iterative algorithms, Relaxed initialization, Noise removal, Landweber method BibRef

Alam, M.Z.[M. Zeshan], Qian, Q.[Qinchun], Gunturk, B.K.[Bahadir K.],
Space-variant blur kernel estimation and image deblurring through kernel clustering,
SP:IC(76), 2019, pp. 41-55.
Elsevier DOI 1906
Space-variant image deblurring, Space-variant PSF estimation, Image fusion BibRef

Borkar, T.S., Karam, L.J.,
DeepCorrect: Correcting DNN Models Against Image Distortions,
IP(28), No. 12, December 2019, pp. 6022-6034.
IEEE DOI 1909
Distortion, AWGN, Task analysis, Training, Robustness, Perturbation methods, Computer vision, Deep neural networks, image deblurring BibRef

Zhu, T., Karam, L.J.,
Efficient perceptual-based spatially varying out-of-focus blur detection,
ICIP16(2673-2677)
IEEE DOI 1610
Databases BibRef

Sun, T.[Tao], Barrio, R.[Roberto], Rodríguez, M.[Marcos], Jiang, H.[Hao],
Inertial Nonconvex Alternating Minimizations for the Image Deblurring,
IP(28), No. 12, December 2019, pp. 6211-6224.
IEEE DOI 1909
Convergence, Image restoration, Convex functions, TV, Minimization, Indexes, Inertial algorithms, nonconvex method, inertial proximal ADMM BibRef

Dong, C., Barbero, S., Portilla, J.,
Nonconvex Bayesian Restoration of Blurred Foreground Images,
ICIP19(754-758)
IEEE DOI 1910
soft boundary restoration, blurred foreground image, non-convex optimization, Gaussian continuation BibRef

Hosseini, M.S., Plataniotis, K.N.,
Convolutional Deblurring for Natural Imaging,
IP(29), No. 1, 2020, pp. 250-264.
IEEE DOI 1910
deconvolution, FIR filters, Gaussian processes, image denoising, image filtering, image reconstruction, image restoration, MaxPol derivatives BibRef

Ren, G.Q.A.[Guo-Qi-Ang], Lian, J.[Jian], Xu, Z.[Zheng], Fan, M.Q.[Ming-Qu], Zheng, Y.J.[Yuan-Jie],
Ocular multi-spectral imaging deblurring via regularization of mutual information,
PRL(127), 2019, pp. 56-65.
Elsevier DOI 1911
Multi-spectral imaging, Image deblurring, Mutual information BibRef

Wang, M.[Meng], Hou, S.Y.[Sheng-Yu], Li, H.F.[Hua-Feng], Li, F.[Fan],
Generative image deblurring based on multi-scaled residual adversary network driven by composed prior-posterior loss,
JVCIR(65), 2019, pp. 102648.
Elsevier DOI 1912
Image deblurring, Generative adversarial network, Residual learning, Prior distribution, Histogram of gradients BibRef

Lumentut, J.S., Kim, T.H., Ramamoorthi, R., Park, I.K.,
Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring,
SPLetters(26), No. 12, December 2019, pp. 1788-1792.
IEEE DOI 2001
image restoration, learning (artificial intelligence), recurrent neural nets, full-resolution handling, 6-DOF motion BibRef

Kumar, H.[Himanshu], Gupta, S.[Sumana], Subramanian, V.K.[Venkatesh K.],
Blur parameter locus curve and its applications,
IET-IPR(14), No. 2, February 2020, pp. 297-309.
DOI Link 2001
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Xu, J., Li, Q., Wang, J.,
Multiple Norms and Boundary Constraint Enforced Image Deblurring via Efficient MCMC Algorithm,
SPLetters(27), 2020, pp. 41-45.
IEEE DOI 2001
Non-blind deblurring, multiple norms, non-negativity constraint, artifacts processing, Markov chain Monte Carlo BibRef

Yang, C.W.[Chen-Wei], Feng, H.J.[Hua-Jun], Xu, Z.H.[Zhi-Hai], Chen, Y.T.[Yue-Ting], Li, Q.[Qi],
Image Deblurring Utilizing Inertial Sensors and a Short-Long-Short Exposure Strategy,
IP(29), 2020, pp. 4614-4626.
IEEE DOI 2003
Kernel, Sensors, Image sensors, Estimation, Cameras, Image restoration, Blur kernel estimation, deblur, exposure strategy, inertial sensors BibRef

Kostková, J.[Jitka], Flusser, J.[Jan], Lébl, M.[Matej], Pedone, M.[Matteo],
Handling Gaussian blur without deconvolution,
PR(103), 2020, pp. 107264.
Elsevier DOI 2005
Gaussian blur, Semi-group, Projection operator, Blur invariants, Image moments, Affine transformation, Combined invariants BibRef

Tran, G.S.[Giang Son], Nghiem, T.P.[Thi Phuong], Burie, J.C.[Jean-Christophe],
Fast parallel blur detection on GPU,
RealTimeIP(17), No. 4, August 2020, pp. 903-913.
Springer DOI 2007
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Chouzenoux, E.[Emilie], Corbineau, M.C.[Marie-Caroline], Pesquet, J.C.[Jean-Christophe],
A Proximal Interior Point Algorithm with Applications to Image Processing,
JMIV(62), No. 6-7, July 2020, pp. 919-940.
Springer DOI 2007
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Corbineau, M.C.[Marie-Caroline], Bertocchi, C., Chouzenoux, E.[Emilie], Prato, M., Pesquet, J.C.[Jean-Christophe],
Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm,
ICIP19(4664-4668)
IEEE DOI 1910
Image deconvolution, proximity operator, interior point method, neural network, deep unfolding BibRef

Burdziakowski, P.[Pawel],
A Novel Method for the Deblurring of Photogrammetric Images Using Conditional Generative Adversarial Networks,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Qi, Q.[Qing], Guo, J.C.[Ji-Chang], Jin, W.P.[Wei-Pei],
EGAN: Non-uniform image deblurring based on edge adversarial mechanism and partial weight sharing network,
SP:IC(88), 2020, pp. 115952.
Elsevier DOI 2009
Generative Adversarial Networks, Image deblurring BibRef

Gu, C., Lu, X., He, Y., Zhang, C.,
Blur Removal Via Blurred-Noisy Image Pair,
IP(30), 2021, pp. 345-359.
IEEE DOI 2012
Kernel, Noise measurement, Image restoration, Optical imaging, Estimation, Gaussian mixture model, Cameras, Image deblurring, Gaussian mixture model BibRef

Liu, J.[Jun], Yan, M.[Ming], Zeng, T.Y.[Tie-Yong],
Surface-Aware Blind Image Deblurring,
PAMI(43), No. 3, March 2021, pp. 1041-1055.
IEEE DOI 2102
Kernel, Image edge detection, Estimation, Image restoration, Surface cleaning, Blind deblurring, image gradient, surface area, saturated images BibRef

Bhatt, R., Naik, N., Subramanian, V.K.,
SSIM Compliant Modeling Framework With Denoising and Deblurring Applications,
IP(30), 2021, pp. 2611-2626.
IEEE DOI 2102
Indexes, Optimization, Noise reduction, Task analysis, Image restoration, Image quality, Correlation, SSIM, deblurring BibRef

Hu, D.[Dandan], Tan, J.[Jieqing], Zhang, L.[Li], Ge, X.Y.[Xian-Yu], Liu, J.[Jing],
Image deblurring via enhanced local maximum intensity prior,
SP:IC(96), 2021, pp. 116311.
Elsevier DOI 2106
Blind image deblurring, Local maximum intensity, Local maximum gradient, Enhanced local maximum intensity, Blur kernel estimation BibRef


Zhang, C.F.[Chuan-Fa], Zhang, W.[Wei], Chen, F.Y.[Fei-Yu], Cheng, Y.T.[Yi-Ting], Gao, S.Y.[Shu-Yong], Zhang, W.Q.[Wen-Qiang],
Global Cognition and Local Perception Network for Blind Image Deblurring,
MMMod21(I:303-314).
Springer DOI 2106
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Tomosada, H.[Hiroki], Kudo, T.[Takahiro], Fujisawa, T.[Takanori], Ikehara, M.[Masaaki],
GAN-Based Image Deblurring Using DCT Discriminator,
ICPR21(3675-3681)
IEEE DOI 2105
DVD, Frequency-domain analysis, Computer architecture, Transforms, Generative adversarial networks, Generators, Image restoration, DCT(Discrete Cosine Transform) BibRef

Song, L.[Li], Lam, E.Y.[Edmund Y.],
MBD-GAN: Model-based image deblurring with a generative adversarial network,
ICPR21(7306-7313)
IEEE DOI 2105
Superresolution, Imaging, Generative adversarial networks, Generators, Robustness, Image restoration, Mathematical model BibRef

Li, Y.W.[Yao-Wei], Luo, Y.[Ye], Lu, J.W.[Jian-Wei],
Single Image Deblurring Using Bi-Attention Network,
ICPR21(5333-5339)
IEEE DOI 2105
Visualization, DVD, Neural networks, Benchmark testing, Image restoration, Pattern recognition, Decoding BibRef

Takahashi, Y., Kuhara, C., Chikatsu, H.,
Image Blur Detection Method Based on Gradient Information In Directional Statistics,
ISPRS20(B2:91-95).
DOI Link 2012
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Sieberth, T.,
Optical Blur Disturbs: The Influence of Optical-Blurred Images In Photogrammtry,
ISPRS20(B1:383-388).
DOI Link 2012
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Rim, J.S.[Jae-Sung], Lee, H.Y.[Hae-Yun], Won, J.C.[Ju-Cheol], Cho, S.Y.[Sungh-Yun],
Real-world Blur Dataset for Learning and Benchmarking Deblurring Algorithms,
ECCV20(XXV:184-201).
Springer DOI 2011
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Yan, X.[Xu], Zhao, W.B.[Wei-Bing], Yuan, K.[Kun], Zhang, R.M.[Rui-Mao], Li, Z.[Zhen], Cui, S.G.[Shu-Guang],
Towards Content-independent Multi-reference Super-resolution: Adaptive Pattern Matching and Feature Aggregation,
ECCV20(XXV:52-68).
Springer DOI 2011
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Eboli, T.[Thomas], Sun, J.[Jian], Ponce, J.[Jean],
End-to-end Interpretable Learning of Non-blind Image Deblurring,
ECCV20(XVII:314-331).
Springer DOI 2011
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Zhong, Z.H.[Zhi-Hang], Gao, Y.[Ye], Zheng, Y.Q.[Yin-Qiang], Zheng, B.[Bo],
Efficient Spatio-temporal Recurrent Neural Network for Video Deblurring,
ECCV20(VI:191-207).
Springer DOI 2011
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Lu, B.[Boyu], Chen, J.C.[Jun-Cheng], Chellappa, R.[Rama],
Unsupervised Domain-Specific Deblurring via Disentangled Representations,
CVPR19(10217-10226).
IEEE DOI 2002
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Zhou, S.[Shangchen], Zhang, J.W.[Jia-Wei], Zuo, W.M.[Wang-Meng], Xie, H.[Haozhe], Pan, J.[Jinshan], Ren, J.S.[Jimmy S.],
DAVANet: Stereo Deblurring With View Aggregation,
CVPR19(10988-10997).
IEEE DOI 2002
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Zhang, H.G.[Hong-Guang], Dai, Y.[Yuchao], Li, H.D.[Hong-Dong], Koniusz, P.[Piotr],
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring,
CVPR19(5971-5979).
IEEE DOI 2002
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Zhang, K.[Kai], Zuo, W.M.[Wang-Meng], Zhang, L.[Lei],
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels,
CVPR19(1671-1681).
IEEE DOI 2002
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Esmaeilzehi, A., Ahmad, M.O., Swamy, M.N.S.,
UPDCNN: A New Scheme for Image Upsampling and Deblurring Using a Deep Convolutional Neural Network,
ICIP19(2154-2158)
IEEE DOI 1910
Image Upsampling and Deblurring, Image Restoration, Deep Learning BibRef

Zhang, R.[Renyan],
Blur Detection via Phase Spectrum,
ACCV18(VI:733-748).
Springer DOI 1906
BibRef

Zhou, Y., Yang, J., Chen, Y., Kung, S.,
Blurred Image Region Detection based on Stacked Auto-Encoder,
ICPR18(2959-2964)
IEEE DOI 1812
feature extraction, filtering theory, image classification, image representation, image restoration, image segmentation, Laplace equations BibRef

Zhang, S., Shen, X., Lin, Z., Mech, R., Costeira, J.P., Moura, J.M.F.,
Learning to Understand Image Blur,
CVPR18(6586-6595)
IEEE DOI 1812
Estimation, Task analysis, Image quality, Neural networks, Training, Cameras, Semantics BibRef

Tao, X., Gao, H., Shen, X., Wang, J., Jia, J.,
Scale-Recurrent Network for Deep Image Deblurring,
CVPR18(8174-8182)
IEEE DOI 1812
Image restoration, Convolution, Kernel, Task analysis, Training, Image resolution BibRef

Liu, Y.H.[Yu-Hang], Dong, W.Y.[Wen-Yong], Gong, D.[Dong], Zhang, L.[Lei], Shi, Q.[Qinfeng],
Deblurring Natural Image Using Super-Gaussian Fields,
ECCV18(I: 467-484).
Springer DOI 1810
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Liu, D.W.[Dong-Wei], Klette, R.[Reinhard],
Blur Estimation for Natural Edge Appearance in Computational Photography,
PSIVTWS17(300-310).
Springer DOI 1806
BibRef

Xue, F.[Feng], Xue, L.[Lian], Liu, J.Q.[Jia-Qi],
A family of risk estimators as criteria for PSF estimation: From SURE to GCV,
ICIP17(2428-2432)
IEEE DOI 1803
Stein's unbiased risk estimate: SURE Approximation error, Deconvolution, Error analysis, Estimation, Frequency-domain analysis, Image restoration, Minimization, generalized cross validation (GCV) BibRef

Li, J., Xue, F., Blu, T.,
Gaussian blur estimation for photon-limited images,
ICIP17(495-499)
IEEE DOI 1803
Deconvolution, Estimation, Kernel, Microscopy, Minimization, Noise level, Photonics, Parametric blur estimation, Poisson noise, photon-limited images BibRef

Cho, S., Lee, S.,
Convergence Analysis of MAP Based Blur Kernel Estimation,
ICCV17(4818-4826)
IEEE DOI 1802
blind source separation, deconvolution, image restoration, maximum likelihood estimation, Optimization BibRef

Yan, Y., Ren, W., Guo, Y., Wang, R., Cao, X.,
Image Deblurring via Extreme Channels Prior,
CVPR17(6978-6986)
IEEE DOI 1711
Channel estimation, Estimation, Image color analysis, Image edge detection, Image restoration, Kernel, Optimization BibRef

Pires, R.G.[Rafael G.], Fernandes, S.E.N.[Silas E.N.], Papa, J.P.[João Paulo],
Blur Parameter Identification Through Optimum-Path Forest,
CAIP17(II: 230-240).
Springer DOI 1708

See also Optimum-Path Forest based on k-connectivity: Theory and applications. BibRef

Pergoloni, S.[Stefano], Biagi, M.[Mauro], Colonnese, S.[Stefania], Cusani, R.[Roberto], Scarano, G.[Gaetano],
Camera communication deblurring: A semiblind spatial fractionally-spaced adaptive equalizer with flexible filter support design,
IPTA16(1-6)
IEEE DOI 1703
FIR filters BibRef

Gu, H., Joel, L., Fabio, A., Pan, C., Poggio, T.,
Invariant representation for blur and down-sampling transformations,
ICIP16(3593-3597)
IEEE DOI 1610
Databases BibRef

Fang, S., Liu, Y.D., Cao, Y.,
Blur kernel estimation using blurry structure,
ICIP16(2703-2707)
IEEE DOI 1610
Computer vision BibRef

Wong, J.S.M.[Jessica Soo Mee], Chan, C.S.[Chee Seng],
Restoration of Blurred-Noisy Images Through the Concept of Bilevel Programming,
ISVC15(II: 776-786).
Springer DOI 1601
BibRef

Zhu, M.Y.[Meng-Yu], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang], Xie, X.K.[Xiao-Kang],
Beyond local phase quantization: Mid-level blurred image representation using fisher vector,
ICIP15(1890-1894)
IEEE DOI 1512
Blurred image recognition; fisher vector; local phase quantization BibRef

Kotera, J.[Jan], Zitova, B.[Barbara], Sroubek, F.[Filip],
PSF accuracy measure for evaluation of blur estimation algorithms,
ICIP15(2080-2084)
IEEE DOI 1512
PSF comparison BibRef

Xie, X.K.[Xiao-Kang], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang], Zhu, M.Y.[Meng-Yu], Lu, H.[Hao],
Blurred image recognition using domain adaptation,
ICIP15(532-536)
IEEE DOI 1512
Blurred image recognition BibRef

Lai, W.S.[Wei-Sheng], Ding, J.J.[Jian-Jiun], Lin, Y.Y.[Yen-Yu], Chuang, Y.Y.[Yung-Yu],
Blur kernel estimation using normalized color-line priors,
CVPR15(64-72)
IEEE DOI 1510
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Mai, L.[Long], Liu, F.[Feng],
Kernel fusion for better image deblurring,
CVPR15(371-380)
IEEE DOI 1510
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Chabardès, T.[Théodore], Marcotegui, B.[Beatriz],
Local Blur Estimation Based on Toggle Mapping,
ISMM15(146-156).
Springer DOI 1506
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Ferris, M.H., Blasen, E., McLaughlin, M.,
Extension of no-reference deblurring methods through image fusion,
AIPR14(1-6)
IEEE DOI 1504
deconvolution BibRef

McLaughlin, M.J., Lin, E.U.[En-Ui], Blasch, E., Bubalo, A., Cornacchia, M., Alford, M., Thomas, M.,
Multi-resolution deblurring,
AIPR14(1-6)
IEEE DOI 1504
cameras BibRef

Barsky, B.A.[Brian A.], Huang, F.C.[Fu-Chung], Lanman, D.[Douglas], Wetzstein, G.[Gordon], Raskar, R.[Ramesh],
Vision Correcting Displays Based on Inverse Blurring and Aberration Compensation,
ACVR14(524-538).
Springer DOI 1504
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Schelten, K.[Kevin], Roth, S.[Stefan],
Localized Image Blur Removal through Non-parametric Kernel Estimation,
ICPR14(702-707)
IEEE DOI 1412
Bayes methods BibRef

Sieberth, T., Wackrow, R., Chandler, J.H.,
Influence of blur on feature matching and a geometric approach for photogrammetric deblurring,
PCV14(321-326).
DOI Link 1404
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Bajic, B.[Buda], Lindblad, J.[Joakim], Sladoje, N.[Nataša],
An Evaluation of Potential Functions for Regularized Image Deblurring,
ICIAR14(I: 150-158).
Springer DOI 1410
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Fraser, K.[Kathleen], Arnold, D.V.[Dirk V.], Dellaire, G.[Graham],
Projected Barzilai-Borwein Method with Infeasible Iterates for Nonnegative Least-Squares Image Deblurring,
CRV14(189-194)
IEEE DOI 1406
Biomedical imaging BibRef

Zhang, Y.[Yi], Hirakawa, K.[Keigo],
Blur Processing Using Double Discrete Wavelet Transform,
CVPR13(1091-1098)
IEEE DOI 1309
BibRef

Zheng, S.C.[Shi-Cheng], Xu, L.[Li], Jia, J.Y.[Jia-Ya],
Forward Motion Deblurring,
ICCV13(1465-1472)
IEEE DOI 1403
BibRef
Earlier: A2, A1, A3:
Unnatural L0 Sparse Representation for Natural Image Deblurring,
CVPR13(1107-1114)
IEEE DOI 1309
Deblurring; Forward Motion; Homography; Normal BibRef

Hu, Z.[Zhe], Yang, M.H.[Ming-Hsuan],
Fast Non-uniform Deblurring using Constrained Camera Pose Subspace,
BMVC12(136).
DOI Link 1301
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Goldstein, A.[Amit], Fattal, R.[Raanan],
Blur-Kernel Estimation from Spectral Irregularities,
ECCV12(V: 622-635).
Springer DOI 1210

See also Estimating an Image's Blur Kernel Using Natural Image Statistics, and Deblurring it: An Analysis of the Goldstein-Fattal Method. BibRef

Baveye, Y.[Yoann], Urban, F.[Fabrice], Chamaret, C.[Christel],
Image and Video Saliency Models Improvement by Blur Identification,
ICCVG12(280-287).
Springer DOI 1210
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Kee, E., Paris, S., Chen, S., Wang, J.[Jue],
Modeling and removing spatially-varying optical blur,
ICCP11(1-8).
IEEE DOI 1208
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Mobahi, H.[Hossein], Zitnick, C.L.[C. Lawrence], Ma, Y.[Yi],
Seeing through the blur,
CVPR12(1736-1743).
IEEE DOI 1208
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Firouzmanesh, A.[Amirhossein], Boulanger, P.[Pierre],
Image De-blurring Using Shearlets,
CRV12(167-173).
IEEE DOI 1207
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Loktyushin, A.[Alexander], Harmeling, S.[Stefan],
Automatic foreground-background refocusing,
ICIP11(3445-3448).
IEEE DOI 1201
Blurred foreground. BibRef

Khan, R.A.[Rizwan Ahmed], Dinet, E.[Eric], Konik, H.[Hubert],
Visual attention: Effects of blur,
ICIP11(3289-3292).
IEEE DOI 1201
BibRef
Earlier: A1, A3, A2:
Enhanced image saliency model based on blur identification,
IVCNZ10(1-7).
IEEE DOI 1203
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Chan, S.H.[Stanley H.], Nguyen, T.Q.[Truong Q.],
Single image spatially variant out-of-focus blur removal,
ICIP11(677-680).
IEEE DOI 1201
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Trouve, P., Champagnat, F., le Besnerais, G., Idier, J.,
Single image local blur identification,
ICIP11(613-616).
IEEE DOI 1201
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Lefkimmiatis, S.[Stamatios], Unser, M.[Michael],
A projected gradient algorithm for image restoration under Hessian matrix-norm regularization,
ICIP12(3029-3032).
IEEE DOI 1302
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Dogan, Z.[Zafer], Lefkimmiatis, S.[Stamatios], Bourquard, A.[Aurelien], Unser, M.[Michael],
A second-order extension of TV regularization for image deblurring,
ICIP11(705-708).
IEEE DOI 1201
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Schmidt, U.[Uwe], Schelten, K.[Kevin], Roth, S.[Stefan],
Bayesian deblurring with integrated noise estimation,
CVPR11(2625-2632).
IEEE DOI 1106
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Soleimani, S.[Seyfollah], Rooms, F.[Filip], Philips, W.[Wilfried], Tessens, L.[Linda],
Image fusion using blur estimation,
ICIP10(4397-4400).
IEEE DOI 1009
BibRef

Hu, Z.[Zhe], Huang, J.B.[Jia-Bin], Yang, M.H.[Ming-Hsuan],
Single image deblurring with adaptive dictionary learning,
ICIP10(1169-1172).
IEEE DOI 1009
BibRef

Almansa, A.[Andrés], Caron, J., Durand, S.[Sylvain],
Deblurring of irregularly sampled images by TV regularization in a spline space,
ICIP10(1181-1184).
IEEE DOI 1009
BibRef

Hong, H.[Hanyu], Park, I.K.[In Kyu],
Single image motion deblurring using anisotropic regularization,
ICIP10(1149-1152).
IEEE DOI 1009
BibRef

Wang, L.[Liang], Luo, S.W.[Si-Wei], Wang, Z.[Zhe],
Image deblur with regularized backward heat diffusion,
ICIP10(1141-1144).
IEEE DOI 1009
BibRef

Tico, M.[Marius], Pulli, K.A.[Kari A.],
Image enhancement method via blur and noisy image fusion,
ICIP09(1521-1524).
IEEE DOI 0911
BibRef

Jung, M.Y.[Mi-Youn], Marquina, A.[Antonio], Vese, L.A.[Luminita A.],
Multiframe image restoration in the presence of noisy blur kernel,
ICIP09(1529-1532).
IEEE DOI 0911
BibRef

Xiong, R.Q.[Rui-Qin], Ding, W.P.[Wen-Peng], Ma, S.W.[Si-Wei], Gao, W.[Wen],
A new image deblurring algorithm with less ringing artifacts via error variance estimation and soft decision,
ICIP11(701-704).
IEEE DOI 1201

See also practical algorithm for tanner graph based image interpolation, A. BibRef

Liang, L.[Luhong], Chen, J.H.[Jian-Hua], Ma, S.W.[Si-Wei], Zhao, D.B.[De-Bin], Gao, W.[Wen],
A no-reference perceptual blur metric using histogram of gradient profile sharpness,
ICIP09(4369-4372).
IEEE DOI 0911
BibRef

Namboodiri, V.P.[Vinay P.], Chaudhuri, S.[Subhasis],
Image Restoration using Geometrically Stabilized Reverse Heat Equation,
ICIP07(IV: 413-416).
IEEE DOI 0709
Restoration of blurred images. BibRef

Loog, M.[Marco], Lauze, F.[François],
Blur Invariant Image Priors,
SSVM07(665-674).
Springer DOI 0705
BibRef

Mohan, A.[Ankit], Huang, X.[Xiang], Tumblin, J.[Jack], Raskar, R.[Ramesh],
Sensing increased image resolution using aperture masks,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Agrawal, A.[Amit], Raskar, R.[Ramesh],
Resolving Objects at Higher Resolution from a Single Motion-blurred Image,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Hu, H., de Haan, G.,
Low Cost Robust Blur Estimator,
ICIP06(617-620).
IEEE DOI 0610
BibRef

Brown, M.S.[Michael S.], Song, P.[Peng], Cham, T.J.[Tat-Jen],
Image Pre-Conditioning for Out-of-Focus Projector Blur,
CVPR06(II: 1956-1963).
IEEE DOI 0606
BibRef

Jeffs, B.D.[Brian D.], Pun, W.H.[Wai Ho],
Simple Shape Parameter Estimation from Blurred Observations for a Generalized Gaussian MRF Image Prior Used in MAP Image Restoration,
ICIP96(II: 465-468).
IEEE DOI BibRef 9600

Li, D.L.[Da-Long], Mersereau, R.M., Simske, S.,
Blur Identification Based on Kurtosis Minimization,
ICIP05(I: 905-908).
IEEE DOI 0512
Turbulence. BibRef

Welk, M.[Martin], Theis, D.[David], Weickert, J.[Joachim],
Variational Deblurring of Images with Uncertain and Spatially Variant Blurs,
DAGM05(485).
Springer DOI 0509
BibRef

Namboodiri, V.P.[Vinay P.], Chaudhuri, S.[Subhasis],
Shock Filters Based on Implicit Cluster Separation,
CVPR05(I: 82-87).
IEEE DOI 0507
Deblurring an image. BibRef

Tianxu, Z.[Zhang], Jin, L.[Liu],
Blurred image recognition based on complex moment invariants,
ICIP04(III: 2131-2134).
IEEE DOI 0505
BibRef

Buzzi, J., Guichard, F.,
Uniqueness of blur measure,
ICIP04(V: 2985-2988).
IEEE DOI
PS File. 0505
BibRef

Shih, S.W.[Sheng-Wen], Kao, P.S.[Po-Shan], Guo, W.S.[Wei-Shin],
An error bound of relative image blur analysis,
ICPR04(IV: 100-103).
IEEE DOI 0409
BibRef

Komatsu, T., Saito, T.,
Super-Resolution Sharpening-Demosaicking Method for Removing Image Blurs Caused by An Optical Low-Pass Filter,
ICIP05(I: 845-848).
IEEE DOI 0512
BibRef
Earlier:
Sharpening-demosaicking method for removal of image blurs caused by an optical low-pass filter,
ICIP04(II: 1237-1240).
IEEE DOI 0505
BibRef

Zakharov, I., Dovnar, D., Lebedinsky, Y.,
Super-resolution image restoration from several blurred images formed in various conditions,
ICIP03(II: 315-318).
IEEE DOI 0312
BibRef

Hare, J., Reilly, J.,
The Iterative Deconvolution of Linearly Blurred Images Using Non-parametric Stabilizing Functions,
ICIP00(Vol III: 770-773).
IEEE DOI 0008
BibRef

Vogel, C.R.[Curt R.],
Negative Results for Multilevel Preconditioners in Image Deblurring,
ScaleSpace99(489-494). BibRef 9900

Mayntz, C.[Claudia], Aach, T.[Til], Kunz, D.[Dietmar],
Blur Identification Using a Spectral Inertia Tensor and Spectral Zeros,
ICIP99(II:885-889).
IEEE DOI BibRef 9900

Marichal, X.[Xavier], Ma, W.Y.[Wei-Ying], Zhang, H.J.[Hong-Jiang],
Blur Determination in the Compressed Domain Using DCT Information,
ICIP99(II:386-390).
IEEE DOI BibRef 9900

Tramini, S., Antonini, M., Barlaud, M., Aubert, G.,
Optimal Joint Decoding/ Deblurring Method for Optical Images,
ICIP99(I:381-385).
IEEE DOI BibRef 9900

Chiang, M.C., Boult, T.E.,
Local Blur Estimation and Super Resolution,
CVPR97(821-826).
IEEE DOI 9704
Superresolution with different illumination. BibRef

Lee, S., Moon, N., and Lee, C.,
Recovery of Blurred Video Signals Using Iterative Image Restoration Combined with Motion Estimation,
ICIP97(I: 755-758).
IEEE DOI BibRef 9700

You, X.[Xu], Crebbin, G.,
Image blur identification by using higher order statistic techniques,
ICIP96(III: 77-80).
IEEE DOI BibRef 9600

Brette, S.[Stephane], Idier, J.,
Optimized single site update algorithms for image deblurring,
ICIP96(III: 65-68).
IEEE DOI BibRef 9600

d'Amore, L.[Luisa], Murli, A.,
FWT based preconditioners for image restoration problems,
ICIP96(III: 93-96).
IEEE DOI BibRef 9600

Yamada, I.[Isao], Ogura, N.[Nobuhiko], Goto, A.[Akito], Sakaniwa, K.[Kohichi],
Constrained Parallel Projection Methods for Optimal Signal Estimation and Design: Constrained Inconsistent Signal Feasibility Problems,
ICIP96(III: 69-72).
IEEE DOI 9610
BibRef

Zou, M.Y.[Mou-Yan], Unbehauen, R.[Rolf],
An Iterative Method of Blur Identification and Image Restoration,
ICIP96(I: 729-732).
IEEE DOI BibRef 9600

Kurashov, V.[Vitalij], Kurashov, A.V.,
Reconstruction of Two-Dimensional Light Intensity Distribution from the Data of Photo-Count Experiments,
ICIP96(III: 555-558).
IEEE DOI BibRef 9600

Chen, M.H., Pavlidis, T.,
Restoration of blurred bilevel signals by multiscaling with finite support filters,
ICPR92(III:632).
IEEE DOI 9208
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Blind Image Deblurring .


Last update:Jul 28, 2021 at 22:23:09