Open AccessImage reconstruction and enhancement by deconvolution in scatter-plate microscopy
Author(s) -
Stephan Ludwig,
Benjamin Le Teurnier,
Giancarlo Pedrini,
Xiang Peng,
Wolfgang Osten
Publication year - 2019
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.27.023049
Subject(s) - deconvolution , point spread function , optics , optical transfer function , image quality , blind deconvolution , autocorrelation , microscopy , image restoration , image resolution , scattering , wiener deconvolution , ptychography , iterative reconstruction , image processing , materials science , diffraction , physics , computer science , image (mathematics) , computer vision , mathematics , statistics
We investigated the capabilities of deconvolution for image enhancement in scatter-plate microscopy. This lensless imaging technique enables the investigation of microstructures through scattering media by cross-correlating the scattered light intensity with a previously recorded point spread function (PSF) of the scattering medium. The autocorrelation function of the PSF appears as the transfer function of the imaging process. Deconvolution methods use the knowledge of this transfer function to enhance the image quality by reducing the blur and strengthening the contrast with the objective to achieve diffraction-limited resolution. We obtained significant image enhancement both with means of inverse filtering and by applying iterative deconvolution algorithms.