Pu Tao

Learned Hyperspectral Image Compression With Coarse-to-Fine Spatial–Spectral Prediction Network

While deep-learned hyperspectral image (HSI) compression has achieved remarkable progress, existing methods typically encode latent representations indiscriminately. This entangled paradigm fails to separate global structural priors from local spectral details, thereby bottlenecking the overall spectral fidelity. To ad...