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Deblur-Denoising-Hyperspectral

A collection of state-of-the-art Deblur,Denoising, and Hyperspectral architectures.

Network list (Updating)

The hyperlink directs to paper site, follows the official codes if the authors open sources.

Model Published Code Keywords Person liable*
(TENet) Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution IVP2019 Pytorch a Joint Solution for Demosaicking, Denoising and Super-Resolution Jiaming Wang
(SSGN)Hybrid Noise Removal in Hyperspectral Imagery with a Spatial-Spectral Gradient Network IEEE2019 Code Hyperspectral, hybrid noise, spatial-spectral,gradient learning, multi-scale convolutional network. Xiujuan Lang
(Deep HS Prior)Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution ICIP2019 Pytorch Hyperspectral imaging, deep learning,single-image processing, 3D-CNN Xiujuan Lang
(HSID-CNN)Hyperspectral Image Denoising Employing a Spatial–Spectral Deep Residual Convolutional Neural Network IEEE2019 Caffe Hyperspectral image (HSI) denoising, spatial–spectral, convolutional neural network (CNN), multiscale feature extraction. Xiujuan Lang
(HSI-SDeCNN)A Single Model CNN for Hyperspectral Image Denoising trans2019 code A Single Model CNN for Hyperspectral Image Denoising Xiujuan Lang

Link of datasets

(please contact me if any of links offend you or any one disabled)

Name Usage Num Site Comments
SET5 Test 5 download jbhuang0604

Person liable

# Name Mail*
19级 Hui Wang 949894293@qq.com
18级 Xiujuan Lang 2675017092@qq.com

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A collection of state-of-the-art Deblur,Denoising, and Hyperspectral architectures.

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