End-to-End Optimized Lossless Hyperspectral Image Compression With Bit Partition (opens in new tab)

Lossless compression of hyperspectral images (HSI) is crucial in applications such as scientific archiving, geological exploration, and material identification, where spectral fidelity must be strictly preserved. However, the extremely high-bit-depth and strong spectral redundancy of HSI make existing learning-based image compression methods mainly designed for RGB images ineffective, as they fail to model high-dimensional dependencies and suffer from inefficiency under high-bit-depth samplin...