Burst image deblurring using permutation invariant convolutional neural networks, Lecture Notes in Computer Science, volume 11212 LNCS, pp.748-764, 2018. ,
Efficient blind deblurring under high noise levels, Symposium on Image and Signal Processing and Analysis, 2019. ,
Assessing the sharpness of satellite images: Study of the planetscope constellation, IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp.389-392, 2019. ,
Blind image deblurring with unknown boundaries using the alternating direction method of multipliers, ICIP, vol.22, issue.8, pp.3074-3086, 2013. ,
Deconvolving images with unknown boundaries using the alternating direction method of multipliers, IEEE Transactions on Image Processing, vol.22, issue.8, pp.3074-3086, 2013. ,
Estimating an image's blur kernel using natural image statistics, and deblurring it: An analysis of the Goldstein-Fattal method, Image Processing On Line, vol.8, pp.282-304, 2018. ,
Modeling realistic degradations in non-blind deconvolution, 25th IEEE International Conference on Image Processing (ICIP), pp.978-982, 2018. ,
Blind image deblurring using the l0 gradient prior, Image Processing On Line, vol.9, pp.124-142, 2019. ,
MoDL: Model-Based Deep Learning Architecture for Inverse Problems, IEEE Transactions on Medical Imaging, vol.38, issue.2, pp.394-405, 2019. ,
Implementation of Local Fourier Burst Accumulation for Video Deblurring, Image Processing On Line, issue.2, pp.1-9, 2017. ,
Défloutage de vidéos en temps réel, ORASIS 2017, 2017. ,
The transformation of poisson, binomial and negative binomial data, Biometrika, vol.35, pp.246-254, 1948. ,
Learned Primal-Dual Reconstruction, IEEE Transactions on Medical Imaging, vol.37, issue.6, pp.1322-1332, 2018. ,
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks, Inverse Problems, 2018. ,
Hybrid projection-reflection method for phase retrieval, Journal of the Optical Society of America A, vol.20, issue.6, p.1025, 2003. ,
Optimization of Image B-spline Interpolation for GPU Architectures, IPOL, vol.9, pp.183-204, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02262502
Non-uniform blind deblurring by reblurring, Proceedings of the IEEE International Conference on Computer Vision, pp.3286-3294, 2017. ,
Improvements of the Inverse Compositional Algorithm for Parametric Motion Estimation, IPOL, vol.8, pp.435-464, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01959765
Equivalence and efficiency of image alignment algorithms, IEEE CVPR, vol.1, p.1090, 2001. ,
Theory and Practice of Image B-Spline Interpolation, IPOL, vol.8, pp.99-141, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01846912
Cours d'analyse: théorie des distributions et analyse de Fourier. Editions Ecole Polytechnique, 2001. ,
A review of earth-viewing methods for in-flight assessment of modulation transfer function and noise of optical spaceborne sensors, p.38, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00745076
Total variation blind deconvolution, IEEE Transactions on Image Processing, vol.7, issue.3, pp.370-375, 1998. ,
A procedure for high resolution satellite imagery quality assessment, Sensors, vol.9, issue.5, pp.3289-3313, 2009. ,
Reblur2Deblur: Deblurring videos via self-supervised learning, IEEE International Conference on Computational Photography, ICCP 2018, pp.1-9, 2018. ,
Generic Sensor Modeling for Modulation Transfer Function (MTF) Estimation, 2005. ,
A neural approach to blind motion deblurring, Lecture Notes in Computer Science, volume 9907 LNCS, pp.221-235, 2016. ,
Fast motion deblurring, ACM Transactions on Graphics, vol.28, issue.5, p.1, 2009. ,
Total variation blind deconvolution, IEEE Transactions on Image Processing, vol.7, issue.3, pp.370-375, 1998. ,
Handling outliers in nonblind image deconvolution, Proceedings of the IEEE International Conference on Computer Vision, pp.495-502, 2011. ,
Video deblurring for handheld cameras using patch-based synthesis, ACM Trans. Graph, vol.31, issue.4, 2012. ,
Secondorder attention network for single image super-resolution, CVPR 19, pp.11065-11074, 2019. ,
Image denoising by sparse 3-d transform-domain collaborative filtering, IEEE Trans. Image Process, vol.16, issue.8, pp.2080-2095, 2007. ,
Image deblurring, spectrum interpolation and application to satellite imageing, 2000. ,
Hand-held Video Deblurring via Efficient Fourier Aggregation, IEEE Transactions on Computational Imaging, vol.1, issue.4, pp.270-283, 2015. ,
Hand-held video deblurring via efficient Fourier aggregation, IEEE Transactions on Computational Imaging, vol.1, issue.4, pp.270-283, 2015. ,
Removing camera shake via weighted fourier burst accumulation, IEEE Transactions on Image Processing, vol.24, issue.11, pp.3293-3307, 2015. ,
Unrolled Optimization with Deep Priors, 2017. ,
Phase retrieval by iterated projections, Journal of the Optical Society of America A, vol.20, issue.1, pp.40-55, 2002. ,
Phase retrieval by iterated projections, J. Opt. Soc. Am. A, vol.20, issue.1, pp.40-55, 2003. ,
Neural Embedding of an Iterative Deconvolution Algorithm for Motion Blur Estimation and Removal, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01857177
Jean-François Aujol, and Vicent Caselles, Irregular to Regular Sampling, Denoising, and Deconvolution. Multiscale Modeling & Simulation, vol.7, pp.1574-1608, 2009. ,
Irregularly sampled image restoration and interpolation, 2011. ,
, , pp.2020-2022
Efficient numerical methods in non-uniformsampling theory, Numerische Mathematik, 1995. ,
Phase retrieval algorithms: a comparison, Appl. Opt, vol.21, issue.15, pp.2758-69, 1982. ,
Relations between the statistics of natural images and the response properties of cortical cells, JOSA A, vol.4, issue.12, pp.2379-2394, 1987. ,
Conservative Scale Recomposition for Multiscale Denoising (The Devil is in the High Frequency Detail), SIAM J Imaging Sci, vol.10, issue.3, pp.1603-1626, 2017. ,
Advances and challenges in super-resolution, International Journal of Imaging Systems and Technology, vol.14, issue.2, pp.47-57, 2004. ,
Removing camera shake from a single photograph, ACM Transactions on Graphics, vol.25, issue.3, p.787, 2006. ,
A review of image fusion algorithms based on the superresolution paradigm, Remote Sensing, vol.8, issue.10, p.797, 2016. ,
Total Variation Deconvolution using Split Bregman, Image Processing On Line, vol.2, pp.158-174, 2012. ,
A Survey of Gaussian Convolution Algorithms, Image Processing On Line, vol.3, pp.286-310, 2013. ,
Blur-kernel estimation from spectral irregularities, European Conference on Computer Vision (ECCV), pp.622-635, 2012. ,
Blur-Kernel Estimation from Spectral Irregularities, Computer Vision -ECCV 2012, vol.7576, pp.622-635, 2012. ,
Mushfiqur Rouf, and Wolfgang Heidrich. Stochastic Deconvolution, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.1043-1050, 2013. ,
Stochastic deconvolution, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1043-1050, 2013. ,
Single Image Deblurring Using Motion Density Functions, European Conference on Computer Vision, pp.171-184, 2010. ,
Stochastic tomography and its applications in 3d imaging of mixing fluids, ACM Trans. Graph, vol.31, issue.4, pp.52-53, 2012. ,
The split Bregman method for L1-regularized problems, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.323-343, 2009. ,
Wavelet burst accumulation for turbulence mitigation, Journal of Electronic Imaging, vol.25, issue.3, p.33003, 2016. ,
Double-dip": Unsupervised image decomposition via coupled deep-image-priors, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol.6, 2019. ,
Nonlinear image recovery with halfquadratic regularization, Anton van den Hengel, Chunhua Shen, and Yanning Zhang. Learning an Optimizer for Image Deconvolution, vol.4, pp.1-17, 1995. ,
Comparing measures of sparsity, IEEE Transactions on Information Theory, vol.55, issue.10, pp.4723-4741, 2009. ,
Methods of conjugate gradients for solving linear systems, 1952. ,
Burst photography for high dynamic range and low-light imaging on mobile cameras, Proc. SIGGRAPH Asia), vol.35, 2016. ,
Fast removal of non-uniform camera shake, Proceedings of the IEEE International Conference on Computer Vision, pp.463-470, 2011. ,
Psf estimation via gradient domain correlation, IEEE Transactions on Image Processing, vol.21, issue.1, pp.386-392, 2012. ,
, Resolution and spatial frequency response. Standard, International Organization for Standardization, 2014.
Estimation of blur and noise parameters in remote sensing ,
An adaptive gaussian model for satellite image deblurring, IEEE Transactions on Image Processing, vol.13, issue.4, pp.613-621, 2004. ,
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01250478
Deblurgan: Blind motion deblurring using conditional adversarial networks, pp.8183-8192, 2018. ,
Recursive reconstruction of high resolution image from noisy undersampled multiframes, IEEE ICASSP, vol.38, issue.6, pp.1013-1027, 1990. ,
Fast image deconvolution using hyperlaplacian priors, Advances in Neural Information Processing Systems (NIPS), pp.1-9, 2009. ,
Fast image deconvolution using hyperlaplacian priors, NIPS, pp.1033-1041, 2009. ,
Fast Image Deconvolution using Hyper-Laplacian Priors, Advances in Neural Information Processing Systems, pp.1033-1041, 2009. ,
Blind image deconvolution, IEEE Signal Process. Mag, vol.13, issue.3, pp.43-64, 1996. ,
Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database, Lecture Notes in Computer Science, vol.7578, issue.7, pp.27-40, 2012. ,
Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better, pp.8878-8887, 2019. ,
Dynamic scene deblurring using a locally adaptive linear blur model, 2016. ,
Modulation transfer function measurement method and results for the orbview-3 high resolution imaging satellite, pp.12-23, 2004. ,
Image sequence enhancement using sub-pixel displacements, CVPR 88, pp.742-743, 1988. ,
Blind deconvolution using a normalized sparsity measure, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.233-240, 2011. ,
Blind deconvolution using a normalized sparsity measure, Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), 2011. ,
Implementation of the "Non-Local Bayes, Image Denoising Algorithm. Ipol, vol.3, pp.1-42, 2013. ,
Unsupervised domainspecific deblurring via disentangled representations, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.2019, pp.10217-10226, 2019. ,
A Deep Optimization Approach for Image Deconvolution, 2019. ,
Characterizing image quality: Blind estimation of the point spread function from a single image, ISPRS, vol.34, pp.205-210, 2002. ,
A Comparative Study for Single Image Blind Deblurring, 2016. ,
Self-Supervised Linear Motion Deblurring, 2020. ,
Seungjun Nah, and Kyoung Mu Lee. Enhanced deep residual networks for single image super-resolution, CVPR Workshops, vol.5, pp.136-144, 2000. ,
Comprehensive calibration and validation site for information remote sensing, An algorithm unrolling approach to deep blind image deblurring, p.40, 2015. ,
Relaxed averaged alternating reflections for diffraction imaging, Inverse Problems, vol.21, issue.1, pp.37-50, 2005. ,
Understanding and evaluating blind deconvolution algorithms, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, pp.1964-1971, 2009. ,
Understanding and evaluating blind deconvolution algorithms, Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), 2009. ,
Understanding blind deconvolution algorithms, IEEE Transactions on Pattern Analysis and Mashine Intelligence, vol.33, issue.12, pp.2354-2367, 2011. ,
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics, Proc. 8th Int'l Conf. Computer Vision, vol.2, pp.416-423, 2001. ,
Super-resolution of proba-v images using convolutional neural networks, Astrodynamics, vol.3, issue.4, pp.387-402, 2019. ,
Unsupervised class-specific deblurring, Lecture Notes in Computer Science, volume 11214 LNCS, pp.358-374, 2018. ,
, Enric Meinhardt-llopis. a collection of small and standalone utilities for image processing, pp.2020-2022
Automatic homographic registration of a pair of images, with a contrario elimination of outliers, Image Processing On Line, vol.2, pp.56-73, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00711852
Super-resolution of remotely sensed images with variable-pixel linear reconstruction, IEEE TGRS, vol.45, issue.5, pp.1446-1457, 2007. ,
Image super-resolution by tvregularization and bregman iteration, Journal of Scientific Computing, vol.37, issue.3, pp.367-382, 2008. ,
Skysat-1: very high-resolution imagery from a small satellite, Sensors, Systems, and Next-Generation Satellites, vol.9241, 2014. ,
Deepsum: Deep neural network for super-resolution of unregistered multitemporal images, IEEE TGRS, 2019. ,
JPEG grid detection based on the number of DCT zeros and its application to automatic and localized forgery detection, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.110-118, 2019. ,
Motion deblurring in the wild, pp.65-77, 2017. ,
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3883-3891, 2017. ,
A wavelet-based interpolationrestoration method for superresolution (wavelet superresolution). Circuits, Systems and Signal Processing, vol.19, pp.321-338, 2000. ,
Super-resolution: a comprehensive survey. Machine vision and applications, vol.25, 2014. ,
Targets, methods, and sites for assessing the in-flight spatial resolution of electro-optical data products, Canadian Journal of Remote Sensing, vol.36, issue.5, pp.583-601, 2010. ,
Image statistics and their applications in computer graphics, Eurographics (STARs), pp.83-112, 2010. ,
Total Variation Blind Deconvolution: The Devil Is in the Details, IEEE Conference on Computer Vision and Pattern Recognition, pp.2909-2916, 2014. ,
A Clearer Picture of Total Variation Blind Deconvolution, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.38, issue.6, pp.1041-1055, 2016. ,
A Logarithmic Image Prior for Blind Deconvolution, International Journal of Computer Vision, vol.117, issue.2, pp.159-172, 2016. ,
Deblurring Text Images via L0-Regularized Intensity and Gradient Prior, Cvpr, pp.2901-2908, 2014. ,
L0-Regularized Intensity and Gradient Prior for Deblurring Text Images and beyond, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.2, pp.342-355, 2015. ,
, Planet Application Program Interface: In Space for Life on Earth, 2017.
TV-L1 optical flow estimation, Image Processing On Line, vol.3, pp.137-150, 2013. ,
Fast l0-regularized kernel estimation for robust motion deblurring, IEEE Signal Processing Letters, vol.20, issue.9, pp.841-844, 2013. ,
Fast l0-Regularized Kernel Estimation for Robust Motion Deblurring, IEEE Signal Processing Letters, vol.20, issue.9, pp.841-844, 2013. ,
Blind Image Deblurring Using Dark Channel Prior, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1628-1636, 2016. ,
Deblurring Images via Dark Channel Prior, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.40, issue.10, pp.2315-2328, 2017. ,
Fast Fourier Transforms for Nonequispaced Data: A Tutorial, Birkhäuser Boston, pp.247-270, 2001. ,
Super-resolution from unregistered aliased images with unknown scalings and shifts, ICASSP, 2012. ,
Fast image restoration without boundary artifacts, IEEE Transactions on Image Processing, vol.14, issue.10, pp.1448-1453, 2005. ,
The little engine that could: Regularization by denoising (RED), 2016. ,
Bayesian-Based Iterative Method of Image Restoration, Journal of the Optical Society of America, vol.62, issue.1, p.55, 1972. ,
Improving wavefront sensing with a Shack-Hartmann device, Applied Optics, vol.55, issue.28, p.7836, 2016. ,
Total variation based image restoration with free local constraints. Image Processing, Proceedings. ICIP-94., IEEE International Conference, vol.1, pp.31-35, 1994. ,
Anatomy of the SIFT Method, Image Processing On Line, vol.4, pp.370-396, 2014. ,
URL : https://hal.archives-ouvertes.fr/tel-01226489
Nonlinear total variation based noise removal algorithm, Physica D, vol.60, issue.1-4, pp.259-268, 1992. ,
A study of slanted-edge mtf stability and repeatability, vol.9396, p.93960, 2015. ,
Characterizing digital image acquisition devices, Optical Engineering, vol.30, issue.2, pp.170-178, 1991. ,
, Neural blind deconvolution using deep priors, 2019.
Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution, IEEE Transactions on Image Processing, vol.25, issue.4, pp.1-1, 2016. ,
A unified view of exact continuous penalties for l2-l0 minimization, SIAM Journal on Optimization, vol.27, issue.3, pp.2034-2060, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01267701
A machine learning approach for non-blind image deconvolution, CVPR, 2013. ,
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network, CVPR, pp.1874-1883, 2016. ,
Deep video deblurring for hand-held cameras, Proceedings -30th IEEE Conference on Computer Vision and Pattern Recognition, pp.237-246, 2017. ,
A mathematical theory of communication, Bell system technical journal, vol.27, issue.3, pp.379-423, 1948. ,
High-quality motion deblurring from a single image, In ACM Transactions on Graphics, vol.27, p.73, 2008. ,
High-quality motion deblurring from a single image, ACM Transactions on Graphics, vol.27, issue.3, p.1, 2008. ,
Next fast fft size, 2011. ,
On discrete band-limited signal extrapolation, Contemporary Mathematics, vol.190, pp.323-323, 1995. ,
Computationally attractive reconstruction of bandlimited images from irregular samples, IEEE Transactions on image processing, vol.6, issue.4, pp.540-548, 1997. ,
, Iterative residual image deconvolution, 2018.
The Inverse Compositional Algorithm for Parametric Registration. IPOL, vol.6, pp.212-232, 2016. ,
Image Statistics and their Applications in Computer Graphics, Eurographics State of the Art Report, issue.STAR, pp.83-112, 2010. ,
Nonlinear camera response functions and image deblurring: Theoretical analysis and practice, IEEE transactions on pattern analysis and machine intelligence, vol.35, pp.2498-2512, 2013. ,
An Analysis and Implementation of the FFDNet Image Denoising Method, Image Proc. OnLine, vol.9, pp.1-25, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02002837
Kernel regression for image processing and reconstruction, TGS + 18] Xin Tao, Hongyun Gao, Xiaoyong Shen, Jue Wang, and Jiaya Jia. Scalerecurrent network for deep image deblurring, vol.16, pp.8174-8182, 2007. ,
Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of lowresolution images, ICIP, pp.539-542, 1995. ,
Motion-aware noise filtering for deblurring of noisy and blurry images, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.17-24, 2012. ,
Super-resolution without explicit subpixel motion estimation, IEEE Transactions on Image Processing, vol.18, issue.9, pp.1958-1975, 2009. ,
Statistics of natural image categories. Network: computation in neural systems, vol.14, pp.391-412, 2003. ,
High-resolution image reconstruction from lower-resolution image sequences and spacevarying image restoration, ICASSP, 1992. ,
Deep image prior, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.9446-9454, 2018. ,
Super-resolution from unregistered aliased images, EPFL, 2006. ,
Plug-and-play priors for model based reconstruction, pp.945-948, 2013. ,
Plug-and-play priors for model based reconstruction, GlobalSIP, pp.945-948, 2013. ,
Edvr: Video restoration with enhanced deformable convolutional networks, CVPR Workshops, 2019. ,
Handheld multi-frame super-resolution, vol.38, pp.1-18, 2019. ,
Image Restoration Using the Damped Richardson-Lucy Method. The Restoration of HST Images and Spectra II, pp.104-110, 1994. ,
Learning blind motion deblurring, pp.231-240, 2017. ,
The interpolation, extrapolation and smoothing of stationary time series, Res. Proj. DIC-6037, vol.19, 1942. ,
End-to-end learning for image burst deblurring, 2016. ,
End-to-end learning for image burst deblurring, pp.35-51, 2016. ,
Deblurring Shaken and Partially Saturated Images, International Journal of Computer Vision, vol.110, issue.2, pp.185-201, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01053886
Non-uniform deblurring for shaken images, International Journal of Computer Vision, vol.98, issue.2, pp.168-186, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-01053877
Recent Progress in Image Deblurring. ArXiv 1409, vol.6838, pp.1-53, 2014. ,
Revisiting Bayesian Blind Deconvolution. CoRR, abs/1305, vol.2, pp.1-39, 2013. ,
Revisiting Bayesian blind deconvolution, Journal of Machine Learning Research, vol.15, issue.1, pp.3595-3634, 2014. ,
Training image estimators without image ground truth, pp.2436-2446, 2019. ,
Stochastic Blind Motion Deblurring. Image Processing, IEEE Transactions on, vol.24, issue.10, pp.3071-3085, 2015. ,
Effective alternating direction optimization methods for sparsityconstrained blind image deblurring, Lecture Notes in Computer Science, vol.17, issue.1, pp.1-27, 2010. ,
Image Smoothing via L0 Gradient Minimization, ACM Trans. Graph. Article, vol.30, issue.10, 2011. ,
Deep Convolutional Neural Network for Image Deconvolution, Advances in neural information processing systems, pp.1-9, 2014. ,
Unnatural L0 sparse representation for natural image deblurring, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1107-1114, 2013. ,
Hybrid image deblurring by fusing edge and power spectrum information, Lecture Notes in Computer Science, volume, vol.8695, pp.79-93, 2014. ,
Blind motion deblurring with cycle generative adversarial networks. The Visual Computer, pp.1-11, 2019. ,
Direct method for restoration of motion-blurred images, JOSA A, vol.15, issue.6, pp.1512-1519, 1998. ,
Image super-resolution: The techniques, applications, and future, Signal Processing, vol.128, pp.389-408, 2016. ,
Handling noise in single image deblurring using directional filters, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.612-619, 2013. ,
Handling noise in single image deblurring using directional filters, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.612-619, 2013. ,
Deep stacked hierarchical multi-patch network for image deblurring, pp.5978-5986, 2019. ,
A duality based approach for realtime TV-L1 optical flow, Joint Pattern Recognition Symposium, pp.214-223, 2007. ,
saggelos. Fast Bayesian blind deconvolution with Huber Super Gaussian priors, Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks. Cvpr, vol.60, pp.122-133, 2017. ,
From learning models of natural image patches to whole image restoration, International Conference on Computer Vision, pp.479-486, 2011. ,
Multi-image blind deblurring using a coupled adaptive sparse prior, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1051-1058, 2013. ,
Learning deep cnn denoiser prior for image restoration, pp.3929-3938, 2017. ,
FFDNet: Toward a fast and flexible solution for cnn based image denoising, IEEE Trans. Image Process, 2018. ,