🥷 A Python package for efficient processing of spectral images

[ECCV'24 - Best Paper Award Candidate & Oral] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.

semillero computer vision

ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography

This is a repository for georeferencing of pushbroom hyperspectral imagery and includes ray-intersection, orthorectification and a coregistration module (at dev stage).

This repository is the official PyTorch implementation of "Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images" (TCI 2021)

JR2net: A Joint Representation and Recovery Network for Compressive Spectral Imaging

Deep Gaussian Optical Bandpass Filter Design for Fermentation Index Estimation in Cocoa Beans | STSIVA 2025 |

A local agent architecture for semantic-aware interaction between large language models and multidimensional microscopy datasets inside napari.

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

A Spectral Ray tracer in Haskell

Code for applying hyperspectral data reduction in deep learning

Deep Low-Dimensional Spectral Image Representation For Compressive Spectral Reconstruction

Enhancing Water-Deficient Potato Plant Identification: Assessing Realistic Performance of Attention-Based Deep Neural Networks and Hyperspectral Imaging for Agricultural Applications

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

Python code for Polyhedral Unmixing: unsupervised segmentation-to-unmixing model for linear spectral unmixing via polyhedral partitioning of space.

Distributed multicomponent lineshape fitting routines and benchmarks for multidimensional spectroscopy and spectral imaging

Code for the PhasorScope project.