Comparison of adaptive optical scanning holography based on new evaluation methods

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

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Author(s)

  • Jilu Duan
  • Yaping Zhang
  • Yongwei Yao
  • Qingyang Fu
  • Bing Zhang
  • Ting-Chung Poon

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Detail(s)

Original languageEnglish
Article number19700
Journal / PublicationScientific Reports
Volume13
Online published11 Nov 2023
Publication statusPublished - 2023

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Abstract

Adaptive Optical Scanning Holography (AOSH) represents a powerful technique that employs an adaptive approach to selectively omit certain lines within holograms, guided by the utilization of Normalized-Mean-Error (NME) as a predictive measure. This approach effectively diminishes scanning time and conserves the storage space required for data preservation. However, there exists alternative methods superior to NME in terms of evaluating the model’s efficacy. This paper introduces two novel methods, namely Normalized-Root-Mean-Square-Error (NRMSE) and Normalized-Mean-Square-Error (NMSE), into the AOSH system, leading to the development of NRMSE-AOSH and NMSE-AOSH. These new systems aim to further minimize duration of holographic recording. Through a comparative analysis of hologram lines between the two newly proposed AOSH systems and the original AOSH, we demonstrate that both NRMSE-AOSH and NMSE-AOSH effectively reduce the number of hologram lines while maintaining the hologram’s informational content. Among the three methods, our two new methods exhibit better performance compared with the original method. © 2023, The Author(s).

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Citation Format(s)

Comparison of adaptive optical scanning holography based on new evaluation methods. / Duan, Jilu; Zhang, Yaping; Yao, Yongwei et al.
In: Scientific Reports, Vol. 13, 19700, 2023.

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

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