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/Report/Conference proceedingConference contributionpeer-review


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 publicationThe 28th International Conference on Automation and Computing
Subtitle of host publicationDigitalisation for Smart Manufacturing and Systems
Number of pages6
ISBN (Electronic)9798350335859
ISBN (Print)9798350335866
Publication statusPublished - 16 Oct 2023
Event28th International Conference on Automation and Computing: Digitalisation for Smart Manufacturing and Systems - Aston University, Birmingham, United Kingdom
Duration: 30 Aug 20231 Sep 2023
Conference number: 28


Conference28th International Conference on Automation and Computing
Abbreviated titleICAC 2023
Country/TerritoryUnited Kingdom
Internet address

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