Channel reconstruction transforms a subsampled mutispectral image into hyperspectral, offering hyperspectral imaging benefits without a dedicated camera. MST++ is a
state of the art channel reconstruction technique, but it faces memory limitations for high spatial resolution images. In this context, we introduce VITMST++, a novel architecture in-
corporating Vision Transformer embedding and compression, multi-resolution image context and a channel-weighted loss. Developed for the ICASSP 2024 Hyperspectral Skin Chal-
lenge, VITMST++ outperforms the state-of-the-art MST++ in both performance and computational efficiency in channel reconstruction.