High-Quality Image Compressed Sensing and Reconstruction with Multi-scale Dilated Convolutional Neural Network

[1]  Minghu Wu,et al.  Cascade neural network-based joint sampling and reconstruction for image compressed sensing , 2021, Signal, Image and Video Processing.

[2]  Minghu Wu,et al.  Cascade neural network-based joint sampling and reconstruction for image compressed sensing , 2021, Signal, Image and Video Processing.

[3]  Rytis Maskeliūnas,et al.  Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model , 2021, Applied Sciences.

[4]  Longguang Wang,et al.  Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks , 2021, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Stefan Hinz,et al.  Review on Convolutional Neural Networks (CNN) in vegetation remote sensing , 2021, ISPRS Journal of Photogrammetry and Remote Sensing.

[6]  Asghar Zarei,et al.  Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals , 2021, Comput. Biol. Medicine.

[7]  Sumit Singh Chauhan,et al.  A review on genetic algorithm: past, present, and future , 2020, Multim. Tools Appl..

[8]  Sumit Singh Chauhan,et al.  A review on genetic algorithm: past, present, and future , 2020, Multimedia Tools and Applications.

[9]  Fanchang Zhang,et al.  Debiasing of seismic reflectivity inversion using basis pursuit de-noising algorithm , 2020 .

[10]  Jianyu Yang,et al.  Forward-Looking Scanning Radar Superresolution Imaging Based on Second-Order Accelerated Iterative Shrinkage-Thresholding Algorithm , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[11]  Pheng-Ann Heng,et al.  Deep Multi-Model Fusion for Single-Image Dehazing , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[12]  Guanghui Zhao,et al.  Sparse signal reconstruction via expanded subspace pursuit , 2019, Journal of Applied Remote Sensing.

[13]  Predrag S. Stanimirovic,et al.  An improved algorithm for basis pursuit problem and its applications , 2019, Appl. Math. Comput..

[14]  Chong Wang,et al.  Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification , 2019, IEEE Transactions on Medical Imaging.

[15]  Karin Schnass,et al.  Average Performance of Orthogonal Matching Pursuit (OMP) for Sparse Approximation , 2018, IEEE Signal Processing Letters.

[16]  J. K. Liu,et al.  A gradient projection method for the sparse signal reconstruction in compressive sensing , 2018 .

[17]  Xiangyu Zhang,et al.  DetNet: Design Backbone for Object Detection , 2018, ECCV.

[18]  Kangfu Mei,et al.  Multi-scale Residual Network for Image Super-Resolution , 2018, ECCV.

[19]  Li Kang,et al.  Adaptive Subspace OMP for Infrared Small Target Image , 2018, 2018 14th IEEE International Conference on Signal Processing (ICSP).

[20]  Anxiao Jiang,et al.  U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting , 2018, Inpainting and Denoising Challenges.

[21]  Yun Fu,et al.  Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.

[22]  Shiqian Ma,et al.  An ADMM-based interior-point method for large-scale linear programming , 2018, Optim. Methods Softw..

[23]  Qingfeng Guan,et al.  Fast sparsity adaptive matching pursuit algorithm for large-scale image reconstruction , 2018, EURASIP J. Wirel. Commun. Netw..

[24]  Kyung-Ah Sohn,et al.  Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network , 2018, ECCV.

[25]  Ming-Hsuan Yang,et al.  Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Hancheng Lu,et al.  FompNet: Compressive sensing reconstruction with deep learning over wireless fading channels , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[27]  Bernard Ghanem,et al.  ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[28]  Raja Giryes,et al.  Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces , 2017, Applied and Computational Harmonic Analysis.

[29]  Yongdong Zhang,et al.  DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing , 2017, Neurocomputing.

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

[31]  Pavan K. Turaga,et al.  ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[32]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[33]  Richard G. Baraniuk,et al.  A deep learning approach to structured signal recovery , 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[34]  Lin Zhang Image Adaptive Reconstruction Based on Compressive Sensing via CoSaMP , 2015, 2015 2nd International Conference on Information Science and Control Engineering.

[35]  Yin Zhang,et al.  An efficient augmented Lagrangian method with applications to total variation minimization , 2013, Computational Optimization and Applications.

[36]  Deanna Needell,et al.  Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries , 2012, IEEE Transactions on Information Theory.

[37]  Charless C. Fowlkes,et al.  Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  Deanna Needell,et al.  Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit , 2007, Found. Comput. Math..

[39]  Lu Gan Block Compressed Sensing of Natural Images , 2007, 2007 15th International Conference on Digital Signal Processing.

[40]  E. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[41]  T. Tozer,et al.  Multiplication-free iterative algorithm for LS problem , 2004 .

[42]  Feng Jiang,et al.  Image Compressed Sensing Using Convolutional Neural Network , 2020, IEEE Transactions on Image Processing.

[43]  Lian Qiu-sheng,et al.  A Compressed Sensing Algorithm Based on Multi-scale Residual Reconstruction Network , 2019 .

[44]  Felix Albu,et al.  Leading Element Dichotomous Coordinate Descent Exponential Recursive Least Squares Algorithm for Multichannel Active Noise Control , 2012 .