Simultaneous Fidelity and Regularization Learning for Image Restoration
暂无分享,去创建一个
David Zhang | Ming-Hsuan Yang | Wangmeng Zuo | Dongwei Ren | Lei Zhang | Ming-Hsuan Yang | W. Zuo | Lei Zhang | David Zhang | Dongwei Ren
[1] David Zhang,et al. Learning Iteration-wise Generalized Shrinkage–Thresholding Operators for Blind Deconvolution , 2016, IEEE Transactions on Image Processing.
[2] Deqing Sun,et al. Blind Image Deblurring Using Dark Channel Prior , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Stamatios Lefkimmiatis,et al. Universal Denoising Networks : A Novel CNN Architecture for Image Denoising , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] Stefan Roth,et al. Shrinkage Fields for Effective Image Restoration , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Yao Wang,et al. Low-Rank Matrix Factorization under General Mixture Noise Distributions , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[6] John Wright,et al. Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization , 2009, NIPS.
[7] Frédo Durand,et al. Understanding and evaluating blind deconvolution algorithms , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Lei Zhang,et al. Weighted Nuclear Norm Minimization with Application to Image Denoising , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Ming-Hsuan Yang,et al. Learning to Deblur Images with Exemplars , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Yu-Hsiang Fu,et al. Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition , 2012, IEEE Transactions on Image Processing.
[11] Zhou Wang,et al. Information Content Weighting for Perceptual Image Quality Assessment , 2011, IEEE Transactions on Image Processing.
[12] Dit-Yan Yeung,et al. Bayesian adaptive matrix factorization with automatic model selection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Lei Zhang,et al. Robust Principal Component Analysis with Complex Noise , 2014, ICML.
[15] Wolfgang Heidrich,et al. High-quality computational imaging through simple lenses , 2013, TOGS.
[16] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[17] Gaofeng Meng,et al. Efficient Image Dehazing with Boundary Constraint and Contextual Regularization , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Delu Zeng,et al. Removing Rain from Single Images via a Deep Detail Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Shuicheng Yan,et al. Deep Joint Rain Detection and Removal from a Single Image , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Wei Yu,et al. On learning optimized reaction diffusion processes for effective image restoration , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Rob Fergus,et al. Fast Image Deconvolution using Hyper-Laplacian Priors , 2009, NIPS.
[22] Wolfgang Heidrich,et al. Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs , 2016, ECCV.
[23] Yi Wang,et al. Scale-Recurrent Network for Deep Image Deblurring , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Xiaochun Cao,et al. Image Deblurring via Enhanced Low-Rank Prior , 2016, IEEE Transactions on Image Processing.
[25] Pheng-Ann Heng,et al. From Noise Modeling to Blind Image Denoising , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Ce Liu,et al. Deep Convolutional Neural Network for Image Deconvolution , 2014, NIPS.
[27] Yandong Tang,et al. Robust Tensor Factorization with Unknown Noise , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Guillermo Sapiro,et al. Deep Video Deblurring for Hand-Held Cameras , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Peyman Milanfar,et al. BLADE: Filter learning for general purpose computational photography , 2017, 2018 IEEE International Conference on Computational Photography (ICCP).
[30] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[31] Rob Fergus,et al. Restoring an Image Taken through a Window Covered with Dirt or Rain , 2013, 2013 IEEE International Conference on Computer Vision.
[32] Li Xu,et al. Two-Phase Kernel Estimation for Robust Motion Deblurring , 2010, ECCV.
[33] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Antonio Criminisi,et al. Filter Forests for Learning Data-Dependent Convolutional Kernels , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Karen O. Egiazarian,et al. Image denoising with block-matching and 3D filtering , 2006, Electronic Imaging.
[36] Wangmeng Zuo,et al. Learning Deep CNN Denoiser Prior for Image Restoration , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Yair Weiss,et al. From learning models of natural image patches to whole image restoration , 2011, 2011 International Conference on Computer Vision.
[38] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[39] Jian Sun,et al. Progressive inter-scale and intra-scale non-blind image deconvolution , 2008, SIGGRAPH 2008.
[40] Tae Hyun Kim,et al. Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Yunjin Chen,et al. Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] René Vidal,et al. Image Priors for Image Deblurring with Uncertain Blur , 2012, BMVC.
[43] Michael J. Black,et al. Fields of Experts , 2009, International Journal of Computer Vision.
[44] Raanan Fattal,et al. Blur-Kernel Estimation from Spectral Irregularities , 2012, ECCV.
[45] Kim-Chuan Toh,et al. Image Restoration with Mixed or Unknown Noises , 2014, Multiscale Model. Simul..
[46] David Zhang,et al. Patch Group Based Bayesian Learning for Blind Image Denoising , 2016, ACCV Workshops.
[47] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[48] Sebastian Nowozin,et al. Cascades of Regression Tree Fields for Image Restoration , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Jiaya Jia,et al. High-quality motion deblurring from a single image , 2008, ACM Trans. Graph..
[50] Gerald Schaefer,et al. UCID: an uncompressed color image database , 2003, IS&T/SPIE Electronic Imaging.
[51] Ming-Hsuan Yang,et al. $L_0$ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Sebastian Nowozin,et al. Discriminative Non-blind Deblurring , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[53] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[54] Michael S. Brown,et al. Rain Streak Removal Using Layer Priors , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Anders P. Eriksson,et al. Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[56] Seungyong Lee,et al. Fast motion deblurring , 2009, ACM Trans. Graph..
[57] Bernhard Schölkopf,et al. Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database , 2012, ECCV.
[58] Andrew Zisserman,et al. Deblurring shaken and partially saturated images , 2011, ICCV Workshops.
[59] Chiou-Ting Hsu,et al. A Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks , 2013, 2013 IEEE International Conference on Computer Vision.
[60] Yu Luo,et al. Removing Rain from a Single Image via Discriminative Sparse Coding , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[61] Deyu Meng,et al. Robust Matrix Factorization with Unknown Noise , 2013, 2013 IEEE International Conference on Computer Vision.
[62] M. Nikolova. An Algorithm for Total Variation Minimization and Applications , 2004 .
[63] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[64] Ronald N. Bracewell,et al. The Fourier Transform and Its Applications , 1966 .
[65] A. N. Rajagopalan,et al. Non-blind Deblurring: Handling Kernel Uncertainty with CNNs , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[66] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[67] Kang Wang,et al. Robust Image Deblurring With an Inaccurate Blur Kernel , 2012, IEEE Transactions on Image Processing.