Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95727
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | en_US |
dc.creator | Ye, Q | en_US |
dc.creator | Chan, YH | en_US |
dc.creator | Somekh, MG | en_US |
dc.creator | Lun, DPK | en_US |
dc.date.accessioned | 2022-10-05T03:56:41Z | - |
dc.date.available | 2022-10-05T03:56:41Z | - |
dc.identifier.issn | 0143-8166 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/95727 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2021 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
dc.rights | The following publication Ye, Q., Chan, Y.-H., Somekh, M. G., & Lun, D. P. K. (2022). Robust phase retrieval with green noise binary masks. Optics and Lasers in Engineering, 149, 106808 is available at https://dx.doi.org/10.1016/j.optlaseng.2021.106808. | en_US |
dc.subject | Coded diffraction patterns | en_US |
dc.subject | Green noise mask | en_US |
dc.subject | Non-bandlimited noise | en_US |
dc.subject | Phase retrieval | en_US |
dc.title | Robust phase retrieval with green noise binary masks | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 149 | en_US |
dc.identifier.doi | 10.1016/j.optlaseng.2021.106808 | en_US |
dcterms.abstract | Phase retrieval with pre-defined optical masks can provide extra constraints and thus achieve improved performance. Recent progress in optimization theory demonstrates the superiority of random masks in enhancing the accuracy of phase retrieval algorithms. However, traditional approaches only focus on the randomness of the masks but ignore their non-bandlimited nature. When using these masks for phase retrieval, the intensity measurements contain many significant high-frequency components that the phase retrieval algorithm cannot take care of and thus leads to degraded performance. Based on the concept of digital halftoning, this paper proposes a green noise binary masking scheme that can significantly reduce the high-frequency contents of the masks while fulfilling the randomness requirement. The resulting intensity measurements will contain data concentrated in the mid-frequency band and around zero frequency areas which can be fully utilized in the phase retrieval optimization process. Our experimental results show that the proposed green noise binary masking scheme consistently outperforms the traditional ones when using in binary coded diffraction pattern phase retrieval systems. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Optics and lasers in engineering, Feb. 2022, v. 149, 106808 | en_US |
dcterms.isPartOf | Optics and lasers in engineering | en_US |
dcterms.issued | 2022-02 | - |
dc.identifier.scopus | 2-s2.0-85115424114 | - |
dc.identifier.artn | 106808 | en_US |
dc.description.validate | 202210 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1738 | - |
dc.identifier.SubFormID | 45859 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Green_Noise_Mask.pdf | Pre-Published version | 3.14 MB | Adobe PDF | View/Open |
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