We describe a compressive hyperspectral imaging scheme that randomly convolves each spectral band of the data cube. This independent sensing of each wavelength relies on a tiling of Fabry-Pérot filters incorporated in the CMOS pixel grid. The compressive observations are induced by an out-of-focus spa- tial light modulation joined to focusing optics. While our design extends a recent monochromatic imaging scheme to the hyper- spectral domain, we show that our model reaches good reconstruc- tion performances when compared to more ideal sensing methods.
Degraux, K., Cambareri, V., Geelen, B., Jacques, L., & Lafruit, G. (2014). Compressive Hyperspectral Imaging by Out-of-Focus Modulations and Fabry-Pérot Spectral Filters. Proceedings of the second “international Traveling Workshop on Interactions between Sparse models and Technology” (iTWIST′14), 21-23. https://hdl.handle.net/2078.5/221789