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Title: HDSP Group · GitHub

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X Title: HDSP Group

Description: High Dimensional Signal Processing Group (HDSP). HDSP Group has 32 repositories available. Follow their code on GitHub.

Open Graph Description: High Dimensional Signal Processing Group (HDSP). HDSP Group has 32 repositories available. Follow their code on GitHub.

X Description: High Dimensional Signal Processing Group (HDSP). HDSP Group has 32 repositories available. Follow their code on GitHub.

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og:image:altHigh Dimensional Signal Processing Group (HDSP). HDSP Group has 32 repositories available. Follow their code on GitHub.
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Adaptive grayscale compressive spectral imaging using optimal blue noise coding patternshttps://github.com/hdspgroup/Adaptive-Grayscale-CSI-Blue-Noise-Patterns
Multiresolution Compressive Feature Fusion for Spectral Image Classificationhttps://github.com/hdspgroup/FeatureFusionHDSP_UIS
Coded Aperture Design for Compressive Spectral Subspace Clusteringhttps://github.com/hdspgroup/compressive_spectral_subspace_clustering
Phase retrieval algorithm via nonconvex minimization using a smoothing functionhttps://github.com/hdspgroup/Phase-retrieval-algorithm-via-nonconvex-minimization-using-a-smoothing-function
Sparse Subspace Clustering with 3D Regularization for Spectral Image Land Cover Segmentationhttps://github.com/hdspgroup/3DS-SSC
Coded of Coded Aperture Design for Compressive Spectral Subspace Clusteringhttps://github.com/hdspgroup/Coded-Aperture-Design-for-Compressive-Spectral-Subspace-Clustering
Super-resolution phase retrieval from designed coded diffraction patternshttps://github.com/hdspgroup/Phase_Retrieval_Super_resolution
Subspace-based Feature Fusion from Hyperspectral and Multispectral Images for Pixel-based Classificationhttps://github.com/hdspgroup/featurefusion_igarss2021
Feature Fusion Via Dual-Resolution Compressive Measurement Matrix Analysis For Spectral Image Classificationhttps://github.com/hdspgroup/featurefusion_getfund
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Datahttps://github.com/hdspgroup/LADMM_Net_Pytorch
Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Taskshttps://github.com/hdspgroup/Deep_Coded_Aperture
Interpretable Multiple Loss Functions In A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolutionhttps://github.com/hdspgroup/Interpretable_HSI_SR
Compressive Spectral Image Reconstruction using Deep prior and Low-Rank Tensor Representationhttps://github.com/hdspgroup/Deep_Prior_Low_Rank
Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component Analysishttps://github.com/hdspgroup/BinaryPCA
SCCD: Shift-Variant Color-Coded Diffractive Spectral Imaging Systemhttps://github.com/hdspgroup/Shift-Variant-System
Deep Low-Dimensional Spectral Image Representation For Compressive Spectral Reconstructionhttps://github.com/hdspgroup/DeepLDSIR
JR2net: A Joint Representation and Recovery Network for Compressive Spectral Imaginghttps://github.com/hdspgroup/JR2net
Deep Adaptive Superpixels for Hadamard Single Pixel Imaging in Near-Infrared Spectrumhttps://github.com/hdspgroup/AdaHSI
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noisehttps://github.com/hdspgroup/GeneralizedR2R
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COmpressive Seismic Acquisition Design (COSAD)https://github.com/hdspgroup/9836_seismic_project
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Hyperspectral and Multispectral images acquired in the HDSP Optics Laboratoryhttps://github.com/hdspgroup/spectral-image-databases
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spec2rgb: Python Script to map spectral image to a RGB representationhttps://github.com/hdspgroup/spec2rgb
HDSP Optoelectronics Automatizationhttps://github.com/hdspgroup/Optics_Lab_Automatization
Template Libro de Tesis de Grado (Pregrado) en formato ICONTEChttps://github.com/hdspgroup/Template_Libro_Tesis_de_Grado_ICONTEC
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