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IEEE DOI
1106
BibRef
Earlier:
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers,
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Springer DOI
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Jung, M.Y.[Mi-Youn],
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Image deblurring, Interactive deblurring, Matrix regression, Gradient
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See also Image Guided Tone Mapping with Locally Nonlinear Model.
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ICPR16(751-756)
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1705
Brightness, Clustering algorithms, Dictionaries, Estimation,
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deconvolution, edge detection, image restoration, image texture,
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Mendlovic, D.[David],
Blurred and noisy image pairs in parallel optics,
JOSA-A(31), No. 11, November 2014, pp. 2529-2537.
DOI Link
1411
BibRef
Earlier:
Deblurring Space-Variant Blur by Adding Noisy Image,
SSVM11(157-168).
Springer DOI
1201
Spatial filtering
BibRef
Sochen, N.A.[Nir A.],
Bar, L.[Leah],
The Beltrami-Mumford-Shah Functional,
SSVM11(183-193).
Springer DOI
1201
BibRef
Xue, F.[Feng],
Blu, T.,
A Novel SURE-Based Criterion for Parametric PSF Estimation,
IP(24), No. 2, February 2015, pp. 595-607.
IEEE DOI
1502
deconvolution
BibRef
Xue, F.[Feng],
Liu, J.Q.[Jia-Qi],
Li, Z.F.[Zhi-Feng],
Liu, S.D.[Sheng-Dong],
Meng, G.[Gang],
Zhang, L.[Li],
Mallows' statistics CL:
A novel criterion for parametric PSF estimation,
JVCIR(33), No. 1, 2015, pp. 115-122.
Elsevier DOI
1512
Blind deconvolution
BibRef
Zhang, X.[Xin],
Sun, F.C.[Fu-Chun],
Liu, G.C.[Guang-Can],
Ma, Y.[Yi],
Non-blind deblurring of structured images with geometric deformation,
VC(31), No. 2, February 2015, pp. 131-140.
WWW Link.
1503
BibRef
Park, H.[Hanhoon],
No-Reference Blur Strength Estimation Based on Spectral Analysis of
Blurred Images,
IEICE(E98-D), No. 3, March 2015, pp. 728-732.
WWW Link.
1504
BibRef
Cao, Z.P.[Zhi-Peng],
Wei, Z.Z.[Zhen-Zhong],
Zhang, G.J.[Guang-Jun],
Robust deblurring based on prediction of informative structure,
IET-IPR(9), No. 9, 2015, pp. 827-835.
DOI Link
1509
Gaussian processes
BibRef
Chen, S.J.[Shu-Jie],
Shen, H.L.[Hui-Liang],
Multispectral Image Out-of-Focus Deblurring Using Interchannel
Correlation,
IP(24), No. 11, November 2015, pp. 4433-4445.
IEEE DOI
1509
Gaussian processes
BibRef
Nemeth, J.[Jozsef],
Discrete Tomography with Unknown Intensity Levels Using Higher-Order
Statistics,
JMIV(53), No. 3, November 2015, pp. 314-331.
WWW Link.
1511
BibRef
Nemeth, J.[Jozsef],
Balazs, P.[Peter],
Restoration of Blurred Binary Images Using Discrete Tomography,
ACIVS13(80-90).
Springer DOI
1311
BibRef
La Camera, A.[Andrea],
Schreiber, L.[Laura],
Deblurring of post-adaptive optics images,
SPIE(Newsroom), September 16, 2015
DOI Link
1511
The novel and freely available Patch software package can be
used to deconvolve images that have spatially variable point spread
functions. For astronomy.
BibRef
Denis, L.[Loïc],
Thiébaut, E.[Eric],
Soulez, F.[Ferréol],
Becker, J.M.[Jean-Marie],
Mourya, R.[Rahul],
Fast Approximations of Shift-Variant Blur,
IJCV(115), No. 3, December 2015, pp. 253-278.
Springer DOI
1512
BibRef
Yousaf, S.,
Qin, S.Y.[Shi-Yin],
Closed-Loop Restoration Approach to Blurry Images Based on Machine
Learning and Feedback Optimization,
IP(24), No. 12, December 2015, pp. 5928-5941.
IEEE DOI
1512
Kalman filters
BibRef
Zhou, X.[Xu],
Mateos, J.,
Zhou, F.[Fugen],
Molina, R.,
Katsaggelos, A.K.,
Variational Dirichlet Blur Kernel Estimation,
IP(24), No. 12, December 2015, pp. 5127-5139.
IEEE DOI
1512
approximation theory
BibRef
Serra, J.G.,
Mateos, J.,
Molina, R.,
Katsaggelos, A.K.,
Spike and slab variational inference for blind image deconvolution,
ICIP17(3765-3769)
IEEE DOI
1803
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
BibRef
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
Zhang, J.,
Hirakawa, K.,
Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise,
IP(26), No. 4, April 2017, pp. 1565-1578.
IEEE DOI
1704
Gaussian processes
BibRef
Ren, W.Q.[Wen-Qi],
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.Q.[Wen-Qi],
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
BibRef
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.Q.[Shi-Qi],
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
BibRef
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
BibRef
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
BibRef
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
Zhang, Y.J.[You-Jian],
Wang, C.[Chaoyue],
Maybank, S.J.[Stephen J.],
Tao, D.C.[Da-Cheng],
Exposure Trajectory Recovery From Motion Blur,
PAMI(44), No. 11, November 2022, pp. 7490-7504.
IEEE DOI
2210
Trajectory, Dynamics, Estimation, Kernel, Task analysis,
Image restoration, Motion blur, exposure trajectory recovery,
video extraction from a single blurry image
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
BibRef
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
BibRef
Yang, C.W.[Chen-Wei],
Feng, H.J.[Hua-Jun],
Xu, Z.H.[Zhi-Hai],
Li, Q.[Qi],
Chen, Y.T.[Yue-Ting],
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
BibRef
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
BibRef
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.C.[Qin-Chun],
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, 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
Kumar, H.,
Gupta, S.,
Venkatesh, K.S.,
Simultaneous Estimation of Defocus and Motion Blurs From Single Image
Using Equivalent Gaussian Representation,
CirSysVideo(30), No. 10, October 2020, pp. 3571-3583.
IEEE DOI
2010
Estimation, Image coding, Cameras, Reliability,
Frequency-domain analysis, Atmospheric modeling,
equivalent Gaussian representation
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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.D.[Dan-Dan],
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
Ge, X.Y.[Xian-Yu],
Tan, J.[Jieqing],
Zhang, L.[Li],
Liu, J.[Jing],
Hu, D.D.[Dan-Dan],
Blind image deblurring with Gaussian curvature of the image surface,
SP:IC(100), 2022, pp. 116531.
Elsevier DOI
2112
Blind image deblurring, Gaussian curvature regularization,
Gaussian curvature filter
BibRef
Ma, H.Y.[Hao-Yu],
Liu, S.J.[Shao-Jun],
Liao, Q.M.[Qing-Min],
Zhang, J.C.[Jun-Cheng],
Xue, J.H.[Jing-Hao],
Defocus Image Deblurring Network With Defocus Map Estimation as
Auxiliary Task,
IP(31), 2022, pp. 216-226.
IEEE DOI
2112
Image restoration, Estimation, Task analysis, Training, Cameras,
Image edge detection, Deep learning, Defocus, deblurring, CNNs
BibRef
Kim, T.[Taeoh],
Lee, S.Y.[Sang-Youn],
Geometry-Aware Deep Video Deblurring via Recurrent Feature Refinement,
IP(31), 2022, pp. 1176-1189.
IEEE DOI
2202
Cameras, Estimation, Image restoration, Optical imaging, Degradation,
Geometry, Feature extraction, Video deblurring,
geometry estimation
BibRef
Guo, W.L.[Wen-Liang],
Xiao, X.[Xiao],
Hui, Y.L.[Yi-Long],
Yang, W.M.[Wen-Ming],
Sadovnik, A.[Amir],
Heterogeneous Attention Nested U-Shaped Network for Blur Detection,
SPLetters(29), 2022, pp. 140-144.
IEEE DOI
2202
Decoding, Feature extraction, Convolution, Image segmentation,
Semantics, Testing, Task analysis, Blur detection, semantic information
BibRef
Liang, C.H.[Chih-Hung],
Chen, Y.A.[Yu-An],
Liu, Y.C.[Yueh-Cheng],
Hsu, W.H.[Winston H.],
Raw Image Deblurring,
MultMed(24), 2022, pp. 61-72.
IEEE DOI
2202
Image restoration, Sensors, Kernel, Cameras, Image sensors,
Image color analysis, Videos, Raw image deblurring,
image quality enhancement
BibRef
Zhang, M.[Min],
Young, G.S.[Geoffrey S.],
Tie, Y.[Yanmei],
Gu, X.F.[Xian-Feng],
Xu, X.Y.[Xiao-Yin],
A new framework of designing iterative techniques for image
deblurring,
PR(124), 2022, pp. 108463.
Elsevier DOI
2203
Continuous forward model update, GMRES, Inverse problem,
Image deblurring, Iterative algorithms, Landweber method, van Cittert method
BibRef
Liu, Y.[Yang],
Fang, F.[Faming],
Wang, T.T.[Ting-Ting],
Li, J.C.[Jun-Cheng],
Sheng, Y.[Yun],
Zhang, G.X.[Gui-Xu],
Multi-Scale Grid Network for Image Deblurring With High-Frequency
Guidance,
MultMed(24), 2022, pp. 2890-2901.
IEEE DOI
2206
Image reconstruction, Feature extraction, Image restoration,
Image edge detection, Kernel, Image resolution, Semantics,
multi-scale
BibRef
Khan, R.A.[Rayyan Azam],
Luo, Y.G.[Yi-Gang],
Wu, F.X.[Fang-Xiang],
Multi-scale GAN with residual image learning for removing
heterogeneous blur,
IET-IPR(16), No. 9, 2022, pp. 2412-2431.
DOI Link
2206
BibRef
Hai, J.[Jiang],
Yang, R.[Ren],
Yu, Y.Q.[Ya-Qi],
Han, S.C.[Song-Chen],
Combining Spatial and Frequency Information for Image Deblurring,
SPLetters(29), 2022, pp. 1679-1683.
IEEE DOI
2208
Frequency-domain analysis, Pipelines, Frequency conversion,
Image restoration, Training, Kernel, Correlation,
spatial and frequency conversion
BibRef
Whang, J.[Jay],
Delbracio, M.[Mauricio],
Talebi, H.[Hossein],
Saharia, C.[Chitwan],
Dimakis, A.G.[Alexandros G.],
Milanfar, P.[Peyman],
Deblurring via Stochastic Refinement,
CVPR22(16272-16282)
IEEE DOI
2210
Measurement, Stochastic processes, Predictive models,
Network architecture, Distortion, Pattern recognition,
Image and video synthesis and generation
BibRef
Delbracio, M.,
Garcia-Dorado, I.,
Choi, S.,
Kelly, D.,
Milanfar, P.,
Polyblur: Removing mild blur by polynomial reblurring,
CompuImaging(7), 2021, pp. 837-848.
IEEE DOI
Code:
See also Breaking down Polyblur: Fast Blind Correction of Small Anisotropic Blurs.
BibRef
2100
Eboli, T.[Thomas],
Morel, J.M.[Jean-Michel],
Facciolo, G.[Gabriele],
Breaking down Polyblur:
Fast Blind Correction of Small Anisotropic Blurs,
IPOL(12), 2022, pp. 435-456.
DOI Link
2211
Code, Deblurring. Polyblur
See also Polyblur: Removing mild blur by polynomial reblurring.
BibRef
Li, Z.[Zihan],
Cui, G.[Guangmang],
Zhao, J.F.[Ju-Feng],
Xiang, Q.[Qinlei],
He, B.[Bintao],
Joint strong edge and multi-stream adaptive fusion network for
non-uniform image deblurring,
JVCIR(89), 2022, pp. 103663.
Elsevier DOI
2212
Non-uniform motion deblurring, Attention mechanisms,
Edge extraction algorithm, Generative adversarial network
BibRef
Dong, J.X.[Jiang-Xin],
Roth, S.[Stefan],
Schiele, B.[Bernt],
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image
Deblurring,
PAMI(44), No. 12, December 2022, pp. 9960-9976.
IEEE DOI
2212
BibRef
Earlier:
Learning Spatially-Variant MAP Models for Non-blind Image Deblurring,
CVPR21(4884-4893)
IEEE DOI
2111
Deconvolution, Image restoration, Feature extraction, Kernel,
Standards, Neural networks, Transform coding, Image deblurring,
saturation and JPEG artifacts.
Deep learning, Maximum a posteriori estimation, Image quality,
Data models, Image restoration
BibRef
Xiang-Yan, M.[Meng],
Chen, Z.[Zhao],
Li, Z.[Zhao],
Keding, Y.[Yan],
Yumiao, R.[Ren],
Hai-Xian, P.[Pan],
Investigation on the blurred image restoration based on
brain-inspired model,
IET-IPR(17), No. 1, 2023, pp. 12-23.
DOI Link
2301
BibRef
Zhong, Z.H.[Zhi-Hang],
Gao, Y.[Ye],
Zheng, Y.Q.[Yin-Qiang],
Zheng, B.[Bo],
Sato, I.[Imari],
Real-World Video Deblurring:
A Benchmark Dataset and an Efficient Recurrent Neural Network,
IJCV(131), No. 1, January 2023, pp. 284-301.
Springer DOI
2301
BibRef
Cao, M.D.[Ming-Deng],
Zhong, Z.H.[Zhi-Hang],
Fan, Y.B.[Yan-Bo],
Wang, J.H.[Jia-Hao],
Zhang, Y.[Yong],
Wang, J.[Jue],
Yang, Y.[Yujiu],
Zheng, Y.Q.[Yin-Qiang],
Towards Real-world Video Deblurring by Exploring Blur Formation Process,
AIM22(327-343).
Springer DOI
2304
BibRef
Cheng, Z.Z.[Zhong-Zhe],
Luo, B.[Bing],
Xu, L.[Li],
Li, B.[Bo],
Pei, Z.[Zheng],
Zhang, C.[Chao],
Blind image deblurring via content adaptive method,
SP:IC(113), 2023, pp. 116924.
Elsevier DOI
2303
Image deblurring, Content adaptive, Variable splitting method
BibRef
Yan, Q.S.[Qing-Sen],
Gong, D.[Dong],
Wang, P.[Pei],
Zhang, Z.[Zhen],
Zhang, Y.N.[Yan-Ning],
Shi, J.Q.F.[Javen Qin-Feng],
SharpFormer: Learning Local Feature Preserving Global Representations
for Image Deblurring,
IP(32), 2023, pp. 2857-2866.
IEEE DOI
2306
Transformers, Image restoration, Feature extraction, Kernel, Convolution,
Image resolution, Adaptation models, Deblurring, locality preserving
BibRef
Yu, L.[Lei],
Wang, B.S.[Bi-Shan],
Zhang, X.[Xiang],
Zhang, H.J.[Hai-Jian],
Yang, W.[Wen],
Liu, J.Z.[Jian-Zhuang],
Xia, G.S.[Gui-Song],
Learning to Super-Resolve Blurry Images With Events,
PAMI(45), No. 8, August 2023, pp. 10027-10043.
IEEE DOI
2307
Spatial resolution, Cameras, Kernel, Task analysis, Noise reduction,
Image reconstruction, Degradation, Deblurring, denoising, super-resolution
BibRef
Wu, Q.C.[Qiu-Cheng],
Jiang, Y.F.[Yi-Fan],
Wu, J.[Junru],
Kulikov, V.[Victor],
Goel, V.[Vidit],
Orlov, N.[Nikita],
Shi, H.[Humphrey],
Wang, Z.Y.[Zhang-Yang],
Chang, S.Y.[Shi-Yu],
Broad Spectrum Image Deblurring via an Adaptive Super-Network,
IP(32), 2023, pp. 5270-5282.
IEEE DOI Code:
WWW Link.
2310
BibRef
Li, Z.[Ziyao],
Gao, Z.[Zhi],
Yi, H.[Han],
Fu, Y.[Yu],
Chen, B.[Boan],
Image Deblurring with Image Blurring,
IP(32), 2023, pp. 5595-5609.
IEEE DOI
2310
BibRef
Min, S.J.[Sung-Jun],
Kong, K.[Kyeongbo],
Kang, S.J.[Suk-Ju],
Out-of-Focus Image Deblurring for Mobile Display Vision Inspection,
CirSysVideo(33), No. 9, September 2023, pp. 5309-5317.
IEEE DOI
2310
BibRef
Lee, H.S.[Ho Sub],
Cho, S.I.[Sung In],
Locally Adaptive Channel Attention-Based Spatial-Spectral Neural
Network for Image Deblurring,
CirSysVideo(33), No. 10, October 2023, pp. 5375-5390.
IEEE DOI
2310
BibRef
Zhang, Y.[Yanni],
Li, Q.[Qiang],
Qi, M.[Miao],
Liu, D.[Di],
Kong, J.[Jun],
Wang, J.Z.[Jian-Zhong],
Multi-Scale Frequency Separation Network for Image Deblurring,
CirSysVideo(33), No. 10, October 2023, pp. 5525-5537.
IEEE DOI
2310
BibRef
Zhang, W.Q.[Wei-Quan],
Cao, Y.H.[Yi-Hao],
Zhang, R.[Rui],
Zhang, W.S.[Wen-Sheng],
Cui, Z.H.[Zhi-Hua],
DAResNet Based on double-layer residual block for restoring
industrial blurred images,
SP:IC(119), 2023, pp. 117041.
Elsevier DOI
2310
Image restoration, Attention mechanism, Double-layer residual,
Industrial blurred images
BibRef
Zhuang, Z.[Zhong],
Li, T.H.[Tai-Hui],
Wang, H.K.[Heng-Kang],
Sun, J.[Ju],
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise,
IJCV(132), No. 2, February 2024, pp. 319-348.
Springer DOI
2402
BibRef
Zhang, P.[Pei],
Liu, H.[Haosen],
Ge, Z.[Zhou],
Wang, C.[Chutian],
Lam, E.Y.[Edmund Y.],
Neuromorphic Imaging With Joint Image Deblurring and Event Denoising,
IP(33), 2024, pp. 2318-2333.
IEEE DOI
2404
Neuromorphics, Imaging, Cameras, Image edge detection,
Image restoration, Voltage control, Image reconstruction,
information fusion
BibRef
Wei, H.[Hao],
Ge, C.Y.[Chen-Yang],
Qiao, X.[Xin],
Deng, P.[Pengchao],
Real-world image deblurring using data synthesis and feature
complementary network,
IET-IPR(18), No. 5, 2024, pp. 1328-1343.
DOI Link
2404
blurred data synthesis, computer vision, deburring
BibRef
Zhang, K.[Kaihao],
Wang, T.[Tao],
Luo, W.H.[Wen-Han],
Ren, W.Q.[Wen-Qi],
Stenger, B.[Björn],
Liu, W.[Wei],
Li, H.D.[Hong-Dong],
Yang, M.H.[Ming-Hsuan],
MC-Blur: A Comprehensive Benchmark for Image Deblurring,
CirSysVideo(34), No. 5, May 2024, pp. 3755-3767.
IEEE DOI Code:
WWW Link.
2405
Kernel, Image restoration, Cameras, Benchmark testing, Videos,
Training, Task analysis, Deblurring benchmark, real-world deblur
BibRef
Wang, P.[Pei],
Zhu, Y.[Yu],
Xue, D.[Danna],
Yan, Q.S.[Qing-Sen],
Sun, J.Q.[Jin-Qiu],
Yoon, S.E.[Sung-Eui],
Zhang, Y.N.[Yan-Ning],
Take a prior from other tasks for severe blur removal,
CVIU(245), 2024, pp. 104027.
Elsevier DOI
2406
Image deblurring, Sharp semantic prior, Knowledge distillation
BibRef
El Malki, I.[Imane],
Jauberteau, F.[François],
Laghrib, A.[Amine],
Nachaoui, M.[Mourad],
Bilevel learning approach for nonlocal p-Laplacien image deblurring
with variable weights parameter w(x),
JVCIR(103), 2024, pp. 104248.
Elsevier DOI
2409
Image deblurring, Nonlocal -Laplacien, Bilevel optimization, Weights learning
BibRef
Zhang, P.Y.[Peng-Yu],
Ju, H.[Hao],
Yu, L.[Lei],
He, W.H.[Wei-Hua],
Wang, Y.[Yaoyuan],
Zhang, Z.Y.[Zi-Yang],
Xu, Q.[Qi],
Li, S.[Shengming],
Wang, D.[Dong],
Lu, H.C.[Hu-Chuan],
Jia, X.[Xu],
Event-Assisted Blurriness Representation Learning for Blurry Image
Unfolding,
IP(33), 2024, pp. 5824-5836.
IEEE DOI
2410
Image restoration, Cameras, Kernel, Degradation, Computational modeling,
Neural networks, Videos, ranking-based learning
BibRef
Ren, M.[Mengwei],
Delbracio, M.[Mauricio],
Talebi, H.[Hossein],
Gerig, G.[Guido],
Milanfar, P.[Peyman],
Multiscale Structure Guided Diffusion for Image Deblurring,
ICCV23(10687-10699)
IEEE DOI
2401
BibRef
Dong, J.X.[Jiang-Xin],
Pan, J.S.[Jin-Shan],
Yang, Z.[Zhongbao],
Tang, J.H.[Jin-Hui],
Multi-scale Residual Low-Pass Filter Network for Image Deblurring,
ICCV23(12311-12320)
IEEE DOI
2401
BibRef
Spatafora, M.A.N.[Maria Ausilia Napoli],
Spata, M.O.[Massimo O.],
Guarnera, L.[Luca],
Ortis, A.[Alessandro],
Battiato, S.[Sebastiano],
Benchmarking of Blind Video Deblurring Methods on Long Exposure and
Resource Poor Settings,
CIAP23(I:376-386).
Springer DOI
2312
BibRef
Banerjee, A.[Abeer],
Saurav, S.[Sumeet],
Singh, S.[Sanjay],
Physics-Informed Deep Deblurring:
Over-parameterized vs. Under-parameterized,
ICIP23(1615-1619)
IEEE DOI
2312
BibRef
Chang, C.C.[Chiao-Chang],
Yang, B.C.[Bo-Cheng],
Liu, Y.T.[Yi-Ting],
Chen, J.C.[Jun-Cheng],
Jhuo, I.H.[I-Hong],
Lin, Y.Y.[Yen-Yu],
Task-Adaptive Feature Matching Loss for Image Deblurring,
ICIP23(3135-3139)
IEEE DOI
2312
BibRef
Zhao, Y.[Yanan],
Li, Y.[Yuelong],
Zhang, H.[Haichuan],
Monga, V.[Vishal],
Eldar, Y.C.[Yonina C.],
A Convergent Neural Network for Non-Blind Image Deblurring,
ICIP23(1505-1509)
IEEE DOI
2312
BibRef
Kong, L.S.[Ling-Shun],
Dong, J.X.[Jiang-Xin],
Ge, J.J.[Jian-Jun],
Li, M.Q.[Ming-Qiang],
Pan, J.S.[Jin-Shan],
Efficient Frequency Domain-based Transformers for High-Quality Image
Deblurring,
CVPR23(5886-5895)
IEEE DOI
2309
BibRef
Chen, X.[Xuhai],
Zhang, J.N.[Jiang-Ning],
Xu, C.[Chao],
Wang, Y.[Yabiao],
Wang, C.J.[Cheng-Jie],
Liu, Y.[Yong],
Better 'CMOS' Produces Clearer Images: Learning Space-Variant Blur
Estimation for Blind Image Super-Resolution,
CVPR23(1651-1661)
IEEE DOI
2309
BibRef
Tang, X.L.[Xiao-Le],
Zhao, X.[Xile],
Liu, J.[Jun],
Wang, J.L.[Jian-Li],
Miao, Y.C.[Yu-Chun],
Zeng, T.Y.[Tie-Yong],
Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual
Prior,
CVPR23(9883-9892)
IEEE DOI
2309
BibRef
Yang, Y.[Yan],
Pan, L.Y.[Li-Yuan],
Liu, L.[Liu],
Liu, M.[MiaoMiao],
K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus
Deblurring,
CVPR23(13263-13272)
IEEE DOI
2309
BibRef
Das, S.K.[Saikat Kumar],
Shashavali, D.,
Lee, S.[Soohyeong],
Shukla, A.[Alok],
Bajpai, P.K.[Pankaj Kumar],
Towards Synthesizing Realistic Data for Efficient On-Device Image
Deblurring,
ICPR22(650-656)
IEEE DOI
2212
Degradation, Deep learning, Performance evaluation,
Image resolution, Image coding, Pipelines, Benchmark testing
BibRef
Rim, J.[Jaesung],
Kim, G.[Geonung],
Kim, J.[Jungeon],
Lee, J.Y.[Jun-Yong],
Lee, S.Y.[Seung-Yong],
Cho, S.[Sunghyun],
Realistic Blur Synthesis for Learning Image Deblurring,
ECCV22(VII:487-503).
Springer DOI
2211
BibRef
Tsai, F.J.[Fu-Jen],
Peng, Y.T.[Yan-Tsung],
Lin, Y.Y.[Yen-Yu],
Tsai, C.C.[Chung-Chi],
Lin, C.W.[Chia-Wen],
Stripformer: Strip Transformer for Fast Image Deblurring,
ECCV22(XIX:146-162).
Springer DOI
2211
BibRef
Nair, N.G.[Nithin Gopalakrishnan],
Yasarla, R.[Rajeev],
Patel, V.M.[Vishal M.],
NBD-GAP: Non-Blind Image Deblurring without Clean Target Images,
ICIP22(3431-3435)
IEEE DOI
2211
Training, Wiener filters, Training data, Image restoration, Kernel,
Task analysis, Colored noise, Non blind deblurring, No-reference
BibRef
Li, D.[Dasong],
Zhang, Y.[Yi],
Cheung, K.C.[Ka Chun],
Wang, X.G.[Xiao-Gang],
Qin, H.W.[Hong-Wei],
Li, H.S.[Hong-Sheng],
Learning Degradation Representations for Image Deblurring,
ECCV22(XVIII:736-753).
Springer DOI
2211
BibRef
Gandikota, K.V.[Kanchana Vaishnavi],
Chandramouli, P.[Paramanand],
Moeller, M.[Michael],
On Adversarial Robustness of Deep Image Deblurring,
ICIP22(3161-3165)
IEEE DOI
2211
Training, Neural networks, Distortion, Robustness, Image restoration,
adversarial attack, image deblurring
BibRef
Kim, I.[Irina],
Lim, D.[Dongpan],
Seo, Y.[Youngil],
Lee, J.[Jeongguk],
Choi, W.[Wooseok],
Song, S.[Seongwook],
Image Deblurring Using Deep Multi-Scale Distortion Prior,
ICIP22(446-450)
IEEE DOI
2211
Image quality, Training, Deep learning, Neural networks, Distortion,
Feature extraction, Cameras, Image deblurring,
under display camera
BibRef
Fang, Y.Y.[Ying-Ying],
Zhang, H.[Hao],
Wong, H.S.[Hok Shing],
Zeng, T.Y.[Tie-Yong],
A robust non-blind deblurring method using deep denoiser prior,
NTIRE22(734-743)
IEEE DOI
2210
Deep learning, Measurement, Visualization, Deconvolution,
Image edge detection, Pattern recognition
BibRef
Ruan, L.Y.[Ling-Yan],
Chen, B.[Bin],
Li, J.Z.[Ji-Zhou],
Lam, M.[Miuling],
Learning to Deblur using Light Field Generated and Real Defocus
Images,
CVPR22(16283-16292)
IEEE DOI
2210
Training, Photography, Shape, Neural networks, Training data,
Apertures, Light fields, Low-level vision, Computational photography
BibRef
Zhang, M.[Meina],
Fang, Y.Y.[Ying-Ying],
Ni, G.X.[Guo-Xi],
Zeng, T.Y.[Tie-Yong],
Pixel screening based intermediate correction for blind deblurring,
CVPR22(01-09)
IEEE DOI
2210
Estimation, Benchmark testing, Pattern recognition, Kernel, Low-level vision
BibRef
Abuolaim, A.[Abdullah],
Afifi, M.[Mahmoud],
Brown, M.S.[Michael S.],
Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur
Kernels,
ComputationalApp22(701-708)
IEEE DOI
2202
Social networking (online), Conferences, Apertures, Market research
BibRef
Guan, Z.Q.[Zi-Qiao],
Tsai, E.H.R.[Esther H. R.],
Huang, X.J.[Xiao-Jing],
Yager, K.G.[Kevin G.],
Qin, H.[Hong],
Non-Blind Deblurring for Fluorescence:
A Deformable Latent Space Approach with Kernel Parameterization,
WACV22(101-109)
IEEE DOI
2202
Training, Imaging, Fluorescence,
Parametric statistics, Image restoration, Kernel, GANs Image Processing
BibRef
Abuolaim, A.[Abdullah],
Afifi, M.[Mahmoud],
Brown, M.S.[Michael S.],
Improving Single-Image Defocus Deblurring:
How Dual-Pixel Images Help Through Multi-Task Learning,
WACV22(82-90)
IEEE DOI
2202
Training, Estimation, Multitasking, Cameras,
Reflection, Light fields, Low-level and Physics-based Vision
BibRef
Zhang, Y.N.[Yan-Ni],
Liu, Y.M.[Yi-Ming],
Li, Q.[Qiang],
Qi, M.[Miao],
Xu, D.[Dahong],
Kong, J.[Jun],
Wang, J.Z.[Jian-Zhong],
Image Deblurring based on Lightweight Multi-Information Fusion
Network,
ICIP21(1724-1728)
IEEE DOI
2201
Deep learning, Image coding, Computer architecture,
Information retrieval, Feature extraction, Image restoration, fusion mechanism
BibRef
Chen, L.[Liang],
Zhang, J.W.[Jia-Wei],
Lin, S.[Songnan],
Fang, F.[Faming],
Ren, J.S.[Jimmy S.],
Blind Deblurring for Saturated Images,
CVPR21(6304-6312)
IEEE DOI
2111
Art, Image edge detection, Estimation,
Benchmark testing, Pattern recognition, Image restoration
BibRef
Tran, P.[Phong],
Tran, A.T.[Anh Tuan],
Phung, Q.[Quynh],
Hoai, M.[Minh],
Explore Image Deblurring via Encoded Blur Kernel Space,
CVPR21(11951-11960)
IEEE DOI
2111
Deep learning, Codes, Design methodology,
Gray-scale, Image restoration, Pattern recognition
BibRef
Lee, J.Y.[Jun-Yong],
Son, H.[Hyeongseok],
Rim, J.[Jaesung],
Cho, S.[Sunghyun],
Lee, S.Y.[Seung-Yong],
Iterative Filter Adaptive Network for Single Image Defocus Deblurring,
CVPR21(2034-2042)
IEEE DOI
2111
Training, Adaptation models, Adaptive systems, Convolution, Shape,
Adaptive filters, Estimation
BibRef
Xu, R.[Ruikang],
Xiao, Z.[Zeyu],
Huang, J.[Jie],
Zhang, Y.[Yueyi],
Xiong, Z.W.[Zhi-Wei],
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration,
NTIRE21(414-423)
IEEE DOI
2109
Degradation, Visualization, Image coding, Fuses, Superresolution,
Transform coding, Image restoration
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
BibRef
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
BibRef
Sieberth, T.,
Optical Blur Disturbs:
The Influence of Optical-Blurred Images In Photogrammtry,
ISPRS20(B1:383-388).
DOI Link
2012
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Lu, B.[Boyu],
Chen, J.C.[Jun-Cheng],
Chellappa, R.[Rama],
Unsupervised Domain-Specific Deblurring via Disentangled
Representations,
CVPR19(10217-10226).
IEEE DOI
2002
BibRef
Zhou, S.C.[Shang-Chen],
Zhang, J.W.[Jia-Wei],
Zuo, W.M.[Wang-Meng],
Xie, H.Z.[Hao-Zhe],
Pan, J.S.[Jin-Shan],
Ren, J.S.[Jimmy S.],
DAVANet: Stereo Deblurring With View Aggregation,
CVPR19(10988-10997).
IEEE DOI
2002
BibRef
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
BibRef
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.F.[Qin-Feng],
Deblurring Natural Image Using Super-Gaussian Fields,
ECCV18(I: 467-484).
Springer DOI
1810
BibRef
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
BibRef
Mai, L.[Long],
Liu, F.[Feng],
Kernel fusion for better image deblurring,
CVPR15(371-380)
IEEE DOI
1510
BibRef
Chabardès, T.[Théodore],
Marcotegui, B.[Beatriz],
Local Blur Estimation Based on Toggle Mapping,
ISMM15(146-156).
Springer DOI
1506
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Kee, E.,
Paris, S.,
Chen, S.,
Wang, J.[Jue],
Modeling and removing spatially-varying optical blur,
ICCP11(1-8).
IEEE DOI
1208
BibRef
Mobahi, H.[Hossein],
Zitnick, C.L.[C. Lawrence],
Ma, Y.[Yi],
Seeing through the blur,
CVPR12(1736-1743).
IEEE DOI
1208
BibRef
Firouzmanesh, A.[Amirhossein],
Boulanger, P.[Pierre],
Image De-blurring Using Shearlets,
CRV12(167-173).
IEEE DOI
1207
BibRef
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
BibRef
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
BibRef
Trouve, P.,
Champagnat, F.,
Le Besnerais, G.,
Idier, J.,
Single image local blur identification,
ICIP11(613-616).
IEEE DOI
1201
BibRef
Lefkimmiatis, S.[Stamatios],
Unser, M.[Michael],
A projected gradient algorithm for image restoration under Hessian
matrix-norm regularization,
ICIP12(3029-3032).
IEEE DOI
1302
BibRef
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
BibRef
Schmidt, U.[Uwe],
Schelten, K.[Kevin],
Roth, S.[Stefan],
Bayesian deblurring with integrated noise estimation,
CVPR11(2625-2632).
IEEE DOI
1106
BibRef
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.Y.[Han-Yu],
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
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.W.[Dietmar W.],
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 .