Compressed sensing - based denoising algorithm of digital holograms recorded in microscope configuration

Compressed Sensing (CS) states that a signal admitting a sparse representation in some basis can be perfectly acquired using a low rate acquisition process that projects the signal onto a small set of vectors incoherent with the sparsity basis. Motivated by this idea, we propose to use CS as denoising algorithm in Digital Holography (DH) for efficient amplitude and phase reconstruction.