Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99085
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Biomedical Engineering | en_US |
| dc.contributor | Mainland Development Office | en_US |
| dc.contributor | Photonics Research Institute | en_US |
| dc.creator | Zhang, X | en_US |
| dc.creator | Gao, J | en_US |
| dc.creator | Gan, Y | en_US |
| dc.creator | Song, C | en_US |
| dc.creator | Zhang, D | en_US |
| dc.creator | Zhuang, S | en_US |
| dc.creator | Han, S | en_US |
| dc.creator | Lai, P | en_US |
| dc.creator | Liu, H | en_US |
| dc.date.accessioned | 2023-06-14T01:00:12Z | - |
| dc.date.available | 2023-06-14T01:00:12Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/99085 | - |
| dc.language.iso | en | en_US |
| dc.publisher | SpringerOpen | en_US |
| dc.rights | © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
| dc.rights | The following publication Zhang, X., Gao, J., Gan, Y. et al. Different channels to transmit information in scattering media. PhotoniX 4, 10 (2023) is available at https://doi.org/10.1186/s43074-023-00087-3. | en_US |
| dc.subject | Channels | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | Point spread function | en_US |
| dc.subject | Scattering medium | en_US |
| dc.subject | Spatial shift-invariant system | en_US |
| dc.title | Different channels to transmit information in scattering media | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | en_US | |
| dc.identifier.epage | en_US | |
| dc.identifier.volume | en_US | |
| dc.identifier.issue | en_US | |
| dc.identifier.doi | 10.1186/s43074-023-00087-3 | en_US |
| dcterms.abstract | A communication channel should be built to transmit information from one place to another. Imaging is 2 or higher dimensional information communication. Conventionally, an imaging channel comprises a lens with free space at its both sides, whose transfer function is usually known and hence the response of the imaging channel can be well defined. Replacing the lens with a thin scattering medium, the image can still be extracted from the detected optical field, suggesting that the scattering medium retains or reconstructs not only energy but also information transmission channels. Aided by deep learning, we find that unlike the lens system, there are different channels in a scattering medium: the same scattering medium can construct different channels to match the manners of source coding. Moreover, it is found that without a valid channel, the convolution law for a spatial shift-invariant system (the output is the convolution of the point spread function and the input object) is broken, and in this scenario, information cannot be transmitted onto the detection plane. Therefore, valid channels are essential to transmit information through even a spatial shift-invariant system. These findings may intrigue new adventures in imaging through scattering media and reevaluation of the known spatial shift-invariance in various areas. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | PhotoniX, 2023, v. 4, no. 1, 10 | en_US |
| dcterms.isPartOf | PhotoniX | en_US |
| dcterms.issued | 2023 | - |
| dc.identifier.scopus | 2-s2.0-85148485539 | - |
| dc.identifier.eissn | 2662-1991 | en_US |
| dc.identifier.artn | en_US | |
| dc.description.validate | 202306 bcww | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | a2097 | - |
| dc.identifier.SubFormID | 46582 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Others: The work was supported by National Natural Science Foundation of China (NSFC) (81930048), Guangdong Science and Technology Commission (2019A1515011374, 2019BT02X105), Hong Kong Research Grant Council (15217721, R5029-19, C7074-21GF), and Hong Kong Innovation and Technology Commission (GHP/043/19SZ, GHP/044/19GD). | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s43074-023-00087-3.pdf | 2.38 MB | Adobe PDF | View/Open |
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