KEYWORDS: Digital holography, Holograms, Image segmentation, 3D image reconstruction, Digital imaging, Holography, Optical filters, Image quality, Digital filtering, Image filtering
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.
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