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Open access Sep 2026

LMCAN: A Lightweight Multiscale Contextual Attention Network for Hyperspectral and Multispectral Image Fusion

Hyperspectral and multispectral image fusion requires enhancing spatial details while preserving the pixel-wise spectral fidelity of hyperspectral observations. Transformer-based approaches provide effective contextual modeling, yet hierarchical token merging may cause spectral mixing, whereas pixel-preserving tokeniza...

Ming-Ming Ma, Zheng-Zhong Fang, Pei-Xian He et al. · 0 citations
Preprint Sep 2026

Tree-Structured Vector Quantization For Efficient And Progressive Image Compression

Vector-quantization based image compression has achieved strong rate--distortion performance, yet most of them still produce a separate compressed representation for each target bitrate. Such variable-rate behavior allows one model to operate at multiple rates, but it does not necessarily provide a progressive bitstrea...

Xin-Kun Wang, Tian-Yi Xu, Qing-Yu Luo et al. · 0 citations

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