Paper
3 September 2008 Removing the twin image in digital holography by segmented filtering of in-focus twin image
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Abstract
We propose and investigate a new digital method for the reduction of twin-image noise from digital Fresnel holograms. For the case of in-line Fresnel holography the unwanted twin is present as a highly corruptive noise when the object image is numerically reconstructed. We propose to firstly reconstruct the unwanted twin-image when it is in-focus and in this plane we calculate a segmentation mask that borders this in focus image. The twin-image is then segmented and removed by simple spatial filtering. The resulting digital wavefield is the inverse propagated to the desired object image plane. The image is free of the twin-image resulting in improved quality reconstructions. We demonstrate the segmentation and removal of the unwanted twin-image from in-line digital holograms containing real-world macroscopic objects. We offer suggestions for its rapid computational implementation.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. McElhinney, B. M. Hennelly, L. Ahrenberg, and T. J. Naughton "Removing the twin image in digital holography by segmented filtering of in-focus twin image", Proc. SPIE 7072, Optics and Photonics for Information Processing II, 707208 (3 September 2008); https://doi.org/10.1117/12.795894
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Cited by 10 scholarly publications.
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KEYWORDS
Digital holography

Holograms

Image segmentation

3D image reconstruction

Digital imaging

Holography

Image quality

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