Compressive Sensing Image Reconstruction Using Super-Resolution Convolutional Neural Network

Proceedings of the 2nd International Conference on Digital Signal Processing - ICDSP 2018 ◽

10.1145/3193025.3193040 ◽

2018 ◽

Author(s):

Lilian Huang ◽

Zhonghang Zhu

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Compressive Sensing ◽

Super Resolution

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On the robustness of compressive sensing hyperspectral image reconstruction using convolutional neural network

Artificial Intelligence and Machine Learning in Defense Applications ◽

10.1117/12.2533113 ◽

2019 ◽

Author(s):

Daniel Gedalin ◽

Yaron Heiser ◽

Yaniv Oiknine ◽

Adrian Stern

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Compressive Sensing ◽

Hyperspectral Image

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Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm.2018.8621073 ◽

2018 ◽

Author(s):

Jinglong Du ◽

Lulu Wang ◽

Ali Gholipour ◽

Zhongshi He ◽

Yuanyuan Jia

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Super Resolution ◽

Deep Convolutional Neural Network ◽

Mr Image ◽

Mr Image Reconstruction

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A Multi-purpose Convolutional Neural Network for Simultaneous Super-Resolution and High Dynamic Range Image Reconstruction

Computer Vision – ACCV 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20893-6_24 ◽

2019 ◽

pp. 379-394

Author(s):

Soo Ye Kim ◽

Munchurl Kim

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Dynamic Range ◽

Super Resolution ◽

High Dynamic Range ◽

Range Image ◽

High Dynamic Range Image ◽

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Image reconstruction with a deep convolutional neural network in high-density super-resolution microscopy

Optics Express ◽

10.1364/oe.392358 ◽

2020 ◽

Vol 28 (10) ◽

pp. 15432

Author(s):

Bowen Yao ◽

Wen Li ◽

Wenhui Pan ◽

Zhigang Yang ◽

Danni Chen ◽

...

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Super Resolution ◽

High Density ◽

Deep Convolutional Neural Network ◽

Super Resolution Microscopy

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One-dimensional convolutional neural network (1D-CNN) image reconstruction for electrical impedance tomography

Review of Scientific Instruments ◽

10.1063/5.0025881 ◽

2020 ◽

Vol 91 (12) ◽

pp. 124704

Author(s):

Xiuyan Li ◽

Rengui Lu ◽

Qi Wang ◽

Jianming Wang ◽

Xiaojie Duan ◽

...

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Electrical Impedance Tomography ◽

Electrical Impedance ◽

Impedance Tomography ◽

One Dimensional

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Image Super-Resolution with Deep Convolutional Neural Network

2016 IEEE First International Conference on Data Science in Cyberspace (DSC) ◽

10.1109/dsc.2016.104 ◽

2016 ◽

Author(s):

Xiancai Ji ◽

Yao Lu ◽

Li Guo

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Super Resolution ◽

Deep Convolutional Neural Network ◽

Image Super Resolution

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Isotropic divide-stages-to process convolutional neural network enhanced double-ring modulated SPIM microscopy (IDDR-SPIM): achieving 5D super-resolution imaging in live cell

10.1117/12.2601421 ◽

2021 ◽

Author(s):

Yuxuan Zhao ◽

Yao Zhou ◽

Longbiao Chen ◽

Peng Wang ◽

Peng Fei

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Super Resolution ◽

Live Cell ◽

Double Ring ◽

Resolution Imaging

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High fidelity image reconstruction of light passing through scattering medium based on convolutional neural network

10.1117/12.2603144 ◽

2021 ◽

Author(s):

zhaoyang tang ◽

chengchao xiang ◽

qixin liu ◽

yue dai ◽

jiaqi he ◽

...

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

High Fidelity ◽

Scattering Medium ◽

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Development of a novel algorithm to improve image quality in chest digital tomosynthesis using convolutional neural network with super-resolution

Medical Imaging 2021: Physics of Medical Imaging ◽

10.1117/12.2581917 ◽

2021 ◽

Author(s):

Tsutomu Gomi

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Super Resolution ◽

Digital Tomosynthesis ◽

Improve Image Quality ◽

Novel Algorithm

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Learning depth super-resolution by using multi-scale convolutional neural network

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-18136 ◽

2019 ◽

Vol 36 (2) ◽

pp. 1773-1783 ◽

Author(s):

Masoumeh Zareapoor ◽

Pourya Shamsolmoali ◽

Jie Yang

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Super Resolution ◽

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