super-resolution

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1
Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement.
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A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.
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Infrared Image Super-Resolution Reconstruction Based on Quaternion and High-Order Overlapping Group Sparse Total Variation.
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RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-Resolution.
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7
Geometrical X-lets for Image Denoising.
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2019 conference proceedings : annual international con... DOI: 10.1109/EMBC.2019.88... 220 views
8
Semi-Supervised Learning for Low-Dose CT Image Restoration with Hierarchical Deep Generative Adversarial Network (HD-GAN).
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OCT Image Denoising Based on Asymmetric Normal Laplace Mixture Model.
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11
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning.
Liu, Ding;Wen, Bihan;Jiao, Jianbo;Liu, Xianming;Wang, Zhangyang;Huang, Thomas S;
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12
Super-Resolution PET Imaging Using Convolutional Neural Networks.
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13
Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging.
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14
color image super-resolution through pocs approach
;Jie Chen;Zongliang Gan; Ziguan Cui;Xiuchang Zhu
2014 gülhane tıp dergi 112 views

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Deep learning convolutional neural networks fusion generative adversarial networks denoising earth observations pan-sharpening satellite imaging brain tumor segmentation resnet high-order gradient infrared image overlapping group sparse regularization by denoising guided filter layer infrared image denoising sub-pixel convolution