Open AccessColor lens-free imaging using multi-wavelength illumination based phase retrieval
Author(s) -
J. Mariën,
Richard Stahl,
Andy Lambrechts,
Chris Van Hoof,
Abdulkadir Yurt
Publication year - 2020
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.402293
Subject(s) - optics , phase retrieval , artificial intelligence , image quality , computer vision , lens (geology) , iterative reconstruction , computer science , phase (matter) , image sensor , image restoration , spectral imaging , image processing , image (mathematics) , physics , fourier transform , quantum mechanics
Accurate image reconstruction in color lens-free imaging has proven challenging. The color image reconstruction of a sample is impacted not only by how strongly the illumination intensity is absorbed at a given spectral range, but also by the lack of phase information recorded on the image sensor. We present a compact and cost-effective approach of addressing the need for phase retrieval to enable robust color image reconstruction in lens-free imaging. The amplitude images obtained at transparent wavelength bands are used to estimate the phase in highly absorbed wavelength bands. The accurate phase information, obtained through our iterative algorithm, removes the color artefacts due to twin-image noise in the reconstructed image and improves image reconstruction quality to allow accurate color reconstruction. This could enable the technique to be applied for imaging of stained pathology slides, an important tool in medical diagnostics.