Lensless hyperspectral phase imaging in a self-reference setup based on Fourier transform spectroscopy and noise suppression
Research output: Contribution to journal › Article › Scientific › peer-review
|Number of pages||13|
|Publication status||Published - Jun 2020|
|Publication type||A1 Journal article-refereed|
A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier transform spectroscopy in the self-referencing optical setup and provides additional, beyond spectral intensity distribution, reconstruction of the investigated object's phase. The noise amplification Fellgett's disadvantage is relaxed by the application of a sparse wavefront noise filtering embedded in the proposed algorithm. The algorithm reliability is proved by simulation tests and by results of physical experiments for transparent objects. These tests demonstrate precise phase imaging and object depth (profile) reconstruction.