Share Email Print

Proceedings Paper

Lensless object scanning holography for diffuse objects
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Recently proposed, Lensless Object Scanning Holography (LOSH) is a fully lensless method, capable of improving image quality in digital Fourier holography applied to reflective objects, and involving a very simplified experimental setup. LOSH is based on the recording and digital post-processing of a set of digital lensless Fourier transform holograms which finally results in a synthetic image with improved resolution, field of view (FOV), signal-to-noise ratio (SNR), and depth of field (DOF). In this paper, LOSH is expanded to the case of diffuse-based objects. Now, the speckle can affect the resolution and it will not be a function of only the size of the aperture. The fact of increasing the aperture can produce the decrease of the size of the speckle. Moreover, there is an overlapping of speckles of the successive images. Different kinds of digital processing can be applied to obtain the final synthetic image. Among them, partial coherent processing, arising from the incoherent sum of several sets of images coherently added, provides the best improvement in the resolution and also in the SNR due to partial averaging of the speckles. Experimental results for a diffuse object are presented for different kinds of digital processing.

Paper Details

Date Published: 13 May 2013
PDF: 6 pages
Proc. SPIE 8788, Optical Measurement Systems for Industrial Inspection VIII, 87880D (13 May 2013); doi: 10.1117/12.2020564
Show Author Affiliations
Javier García, Univ. de València (Spain)
Carlos Ferreira, Univ. de València (Spain)
Vicente Micó, Univ. de València (Spain)

Published in SPIE Proceedings Vol. 8788:
Optical Measurement Systems for Industrial Inspection VIII
Peter H. Lehmann; Wolfgang Osten; Armando Albertazzi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?