🥷 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 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

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 |

Neural network -based thermal excess correction for resolved asteroid spectral radiances in near-infrared

A Spectral Ray tracer in Haskell

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

Code for applying hyperspectral data reduction in deep learning

Deep Low-Dimensional Spectral Image Representation For Compressive Spectral Reconstruction

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

Code for the PhasorScope project.

Code for multi-channel tomographic reconstruction with Multi-Channel DART (MC-DART)

Presentation slides for an introduction on technical imaging of cultural heritage objects