Compressive spectral video by dynamic spatial-spectral-temporal windowed codification

Snapshot compressive imaging has emerged as a powerful framework for acquiring high-dimensional data efficiently in a single exposure. Despite significant advances in spectral and temporal imaging, capturing a full-spectral video in a single snapshot remains challenging, as conventional approaches typically rely on multiple acquisitions to separately capture spectral and temporal dimensions. To address this limitation, we propose a single-shot compressed dynamic color-coded spectral video system that employs a windowed temporal encoding approach that improves pixel-intensity uniformity and dynamic range. The proposed compressive coding scheme synchronizes a liquid crystal tunable filter with a coded aperture device to encode and acquire the spectral video within a fixed exposure time. We develop and implement a plug-and-play alternating-direction multiplier method (PnP-ADMM) to efficiently recover the four-dimensional data cubes. Extensive simulations and proof-of-concept experiments demonstrate the effectiveness of the proposed system in capturing and reconstructing compressed spectral video efficiently.