activity
20232026
most citedMultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2026

Lightweight Interpretable RGB-Guided Hyperspectral Super-Resolution under Real Cross-resolution Misalignment

Mohamad Jouni, Aurélien Godet, Mauro Dalla Mura

Compact snapshot hyperspectral cameras provide rich instantaneous spectral measurements for ground-level machine vision, but at lower spatial resolution than standard RGB cameras.…

cs.CV2026

Leveraging pretrained RGB denoisers for hyperspectral image restoration

Daniele Picone, Mohamad Jouni, Mauro Dalla-Mura

Hyperspectral image restoration faces several challenges, including limited training data, strong sensor specificity, and high spectral dimensionality. These limitations hinder the…

eess.SP2024

Multiple-beam Interference Spectroscopy: Instrument Analysis and Spectrum Reconstruction

Mohamad Jouni, Daniele Picone, Mauro Dalla Mura

Hyperspectral imaging systems based on multiple-beam interference (MBI), such as Fabry-Perot interferometry, are attracting interest due to their compact design, high throughput, a…

eess.IV2023★ 6 cited

MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition

Mohamad Jouni, Mauro Dalla Mura, Lucas Drumetz +1

Hyperspectral unmixing allows representing mixed pixels as a set of pure materials weighted by their abundances. Spectral features alone are often insufficient, so it is common to…

eess.IV2023

Spectro-spatial hyperspectral image reconstruction from interferometric acquisitions

Daniele Picone, Mohamad Jouni, Mauro Dalla-Mura

In the last decade, novel hyperspectral cameras have been developed with particularly desirable characteristics of compactness and short acquisition time, retaining their potential…