🥷 A Python package for efficient processing of spectral images
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Updated
May 12, 2025 - Python
🥷 A Python package for efficient processing of spectral images
semillero computer vision
[ECCV'24 - Best Paper Award Candidate & Oral] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
This repository is the official PyTorch implementation of "Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images" (TCI 2021)
This is a repository for georeferencing of pushbroom hyperspectral imagery and includes ray-intersection, orthorectification and a coregistration module (at dev stage).
JR2net: A Joint Representation and Recovery Network for Compressive Spectral Imaging
Neural network -based thermal excess correction for resolved asteroid spectral radiances in near-infrared
JR2net: A Joint Representation and Recovery Network for Compressive Spectral Imaging
Deep Low-Dimensional Spectral Image Representation For Compressive Spectral Reconstruction
A Spectral Ray tracer in Haskell
Code for applying hyperspectral data reduction in deep learning
PoliBrush is a freely distributed software designed for teaching exploratory multivariate analysis in the frame of color RGB and spectral imaging. PoliBrush implements principal component analysis (PCA) as its core method. A detailed user guide is provided in the following tutorial paper: https://doi.org/10.1016/j.chemolab.2023.104918
Simple viewer for spectral images supporting customizable image filtering pipelines
Distributed multicomponent lineshape fitting routines and benchmarks for multidimensional spectroscopy and spectral imaging
Enhancing Water-Deficient Potato Plant Identification: Assessing Realistic Performance of Attention-Based Deep Neural Networks and Hyperspectral Imaging for Agricultural Applications
Presentation slides for an introduction on technical imaging of cultural heritage objects
Field-Scale UAV-Based Multispectral Phenomics: Leveraging Machine Learning, Explainable AI, and Hybrid Feature Engi-neering for Enhancements in potato phenotyping
Design and capture compressive measurements with those compressive measurements classification in performed.
Moon on a Stick Tools (commandline scientific astrophotography, done easily and correctly)
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