Open AccessCompressive imaging in scattering media
Author(s) -
Vicente Durán,
Fernando Soldevila,
Esther Irles,
Pere Clemente,
Enrique Tajahuerce,
Pedro Andrés,
Jesús Láncis
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.014424
Subject(s) - optics , raster scan , holography , raster graphics , light scattering , scattering , detector , pixel , computer science , digital holography , compressed sensing , computer vision , physics , artificial intelligence
One challenge that has long held the attention of scientists is that of clearly seeing objects hidden by turbid media, as smoke, fog or biological tissue, which has major implications in fields such as remote sensing or early diagnosis of diseases. Here, we combine structured incoherent illumination and bucket detection for imaging an absorbing object completely embedded in a scattering medium. A sequence of low-intensity microstructured light patterns is launched onto the object, whose image is accurately reconstructed through the light fluctuations measured by a single-pixel detector. Our technique is noninvasive, does not require coherent sources, raster scanning nor time-gated detection and benefits from the compressive sensing strategy. As a proof of concept, we experimentally retrieve the image of a transilluminated target both sandwiched between two holographic diffusers and embedded in a 6mm-thick sample of chicken breast.