A Speckle Noise Suppression Method Based on Quality Map

Chengxin Zhong, Chao Kong, Chaolong Zhang, Yuanping Xu, Zhijie Xu, Tukun Li, Jin Jin, Qin Wen

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Digital holography is a technique for measuring the shape of an object in 3D. It uses interference patterns generated by a laser or other light source, which record both the phase and intensity information of the light reflected from the surface of the object. This information is then encoded into digital holograms and reconstructed using computational methods to produce a 3D shape of the object. In the process of digital holography measurement, due to the high coherence of the laser, a large amount of speckle noise is generated when measuring rough surfaces due to diffuse reflection, leading to errors in the reconstruction results. Although traditional phase filtering has a good effect on noise filtering, it may cause distortion of normal phase. In order to suppress speckle noise, this study compared the common quality maps, proposed a local threshold adaptive speckle noise extraction method based on quality maps, and finally obtained the correct phase map by restoring the speckle noise points.

Original languageEnglish
Title of host publicationICAC 2023 - 28th International Conference on Automation and Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335859
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event28th International Conference on Automation and Computing, ICAC 2023 - Birmingham, United Kingdom
Duration: 30 Aug 20231 Sept 2023

Publication series

NameICAC 2023 - 28th International Conference on Automation and Computing

Conference

Conference28th International Conference on Automation and Computing, ICAC 2023
Country/TerritoryUnited Kingdom
CityBirmingham
Period30/08/231/09/23

Keywords

  • digital holography
  • Local adaptive thresholding
  • phase unwrapping
  • quality map
  • speckle noise

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