Joint Reconstruction and Pansharpening for High-Resolution Hyperspectral Single-Pixel Imaging
Abstract
We address the problem of single-pixel hyperspectral imaging, which requires balancing acquisition speed and spatial resolution. To improve spatial resolution when acquiring a small number of measurements in low-light conditions, we leverage side information from a high-resolution grayscale camera. Our joint reconstruction and fusion approach combines hyperspectral measurements and the grayscale image by minimizing a hand-crafted cost function that incorporates smooth spatial regularization and a low-rank approximation. Experiments on synthetic data show that our method improves spatial fidelity and per-pixel accuracy in photon-limited settings while preserving spectral alignment.
Fields of Study & Subjects
Random lasers and scattering media
Optical Imaging and Spectroscopy Techniques
Advanced Image Fusion Techniques
Publication details
- Journal / source
- ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Publisher
- IEEE
- Pages
- 11577–11581
- Publication date
- 21 April 2026
- Language
- EN