Visual Enhancement from Super-Resolution to Hyperspectral Imaging
This review synthesizes published results on visual enhancement across three axes: spatial super-resolution (SR), multi-source image fusion, and hyperspectral imaging (HSI). For single-image SR, model-based methods employ sparse representation, self-s
Authors
- Y. Kobayashi (ORCID: https://orcid.org/0000-0002-0631-361X)
- Aya Nakamura (ORCID: https://orcid.org/0000-0002-6438-2576)
- Takashi Yamamoto (ORCID: https://orcid.org/0000-0002-0318-0823)
- Hiroshi Tanaka
- Megumu Mori (ORCID: https://orcid.org/0009-0007-9633-6463)
Institutions
- Ritsumeikan University (JP)
- National Institute of Informatics (JP)
- Kanto Gakuin University (JP)
- Nagoya University (JP)
- The University of Tokyo (JP)
Publication Details
- Published
- 2025-09-19
- DOI
- https://doi.org/10.36227/techrxiv.175825697.74257301/v1
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00