HyperQUEEN-MF: Hyperspectral Quantum Deep Network with Multi-Scale Feature Fusion For Quantum Image Super-Resolution

• Published in: Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop pp. 1 - 5
• Main Authors: Hsu, Shih-Min, Lin, Tzu-Hsuan, Lin, Chia-Hsiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 08.07.2024
• Subjects: Feature extraction; hyperspectral image; hyperspectral super-resolution; Information retrieval; Inverse problems; quantum deep learning; quantum image processing; Quantum neural network; Satellites; Superresolution; Transformers; Transforms
• ISSN: 2151-870X
• DOI: 10.1109/SAM60225.2024.10636692

Hyperspectral images (HSIs) have drawn considerable attention over the last decade thanks to their high spectral resolution. However, as hardware limitations often cause the low spatial resolution of HSIs compared to traditional RGB and multispectral images, the hyperspectral image super-resolution...