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Enhanced Autofocusing in Optical Scanning Holography Based on Hologram Decomposition

Shuming Jiao*, Peter Wai Ming Tsang, Ting-Chung Poon, Jung-Ping Liu, Wenbin Zou, Xia Li

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Optical scanning holography is a compact and powerful method for capturing hologram of a wide three-dimensional (3-D) view scene. After a hologram has been taken, it is often necessary to determine the locations of the focal plane on which the objects are residing, so that the 3-D scene can be numerically reconstructed for further analysis or processing. Recent research has shown that automatic detection of the depth (focal plane) of objects represented in a hologram can be conducted with entropy minimization method. Despite the success, the method could fail if the entropy information of objects in a hologram are interfering with each other. In this paper, we propose a method based on the hologram decomposition to overcome this problem. Briefly, the hologram is decomposed into subholograms and the focal plane distance is determined separately for each subobject. Simulation results reveal that our proposed method has good accuracy and reliability.
Original languageEnglish
Article number7934359
Pages (from-to)2455-2463
JournalIEEE Transactions on Industrial Informatics
Volume13
Issue number5
Online published26 May 2017
DOIs
Publication statusPublished - 1 Oct 2017

Research Keywords

  • Autofocusing
  • entropy
  • hologram decomposition
  • optical scanning holography (OSH)
  • segmentation

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