Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework

[1]  Jian Sun,et al.  Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[2]  Stefan Harmeling,et al.  Image denoising: Can plain neural networks compete with BM3D? , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Philip Schniter,et al.  Regularization by Denoising: Clarifications and New Interpretations , 2018, IEEE Transactions on Computational Imaging.

[4]  Ce Liu,et al.  Deep Convolutional Neural Network for Image Deconvolution , 2014, NIPS.

[5]  Yi Wang,et al.  Scale-Recurrent Network for Deep Image Deblurring , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[6]  Guangming Shi,et al.  Denoising Prior Driven Deep Neural Network for Image Restoration , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Alessandro Foi,et al.  Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.

[8]  Larry S. Davis,et al.  Generalized Deep Image to Image Regression , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Brendt Wohlberg,et al.  Plug-and-Play priors for model based reconstruction , 2013, 2013 IEEE Global Conference on Signal and Information Processing.

[10]  Lei Zhang,et al.  Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.

[11]  Yair Weiss,et al.  From learning models of natural image patches to whole image restoration , 2011, 2011 International Conference on Computer Vision.

[12]  Liang Lin,et al.  Multi-level Wavelet-CNN for Image Restoration , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[13]  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).

[14]  Yoshua Bengio,et al.  What regularized auto-encoders learn from the data-generating distribution , 2012, J. Mach. Learn. Res..

[15]  Hongdong Li,et al.  Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[16]  Xiangyu Wang,et al.  Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework , 2017, AAAI.

[17]  Luc Van Gool,et al.  Integrating Local and Non-local Denoiser Priors for Image Restoration , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

[18]  Jean Ponce,et al.  Learning a convolutional neural network for non-uniform motion blur removal , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[19]  Stefan Roth,et al.  Neural Nearest Neighbors Networks , 2018, NeurIPS.

[20]  Rynson W. H. Lau,et al.  Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[21]  Stanley H. Chan,et al.  Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications , 2016, IEEE Transactions on Computational Imaging.

[22]  José M. Bioucas-Dias,et al.  Fast Image Recovery Using Variable Splitting and Constrained Optimization , 2009, IEEE Transactions on Image Processing.

[23]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[24]  Anita Sellent,et al.  Stereo Video Deblurring , 2016, ECCV.

[25]  Shunsuke Ono,et al.  Primal-Dual Plug-and-Play Image Restoration , 2017, IEEE Signal Processing Letters.

[26]  Michael J. Black,et al.  Fields of Experts , 2009, International Journal of Computer Vision.

[27]  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.

[28]  Wangmeng Zuo,et al.  Learning Deep CNN Denoiser Prior for Image Restoration , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[29]  Frédo Durand,et al.  Deep joint demosaicking and denoising , 2016, ACM Trans. Graph..

[30]  Thomas S. Huang,et al.  Non-Local Recurrent Network for Image Restoration , 2018, NeurIPS.