Super-resolution reconstruction algorithm for terahertz imaging below diffraction limit

Wang, Y; Qi, F; Zhang, Z-X; Wang, J-K

Super-resolution reconstruction algorithm for terahertz imaging below diffraction limit

Wang, Y Qi, F Zhang, Z-X Wang, J-K

Permalink

Publisher:: IOP Publishing
Publication Type:: Journal Article
Citation:: Chinese Physics B, 2023, 32, (3), pp. 038702
Issue Date:: 2023-03-01

Closed Access

	Filename	Description	Size
	Wang_2023_Chinese_Phys._B_32_038702.pdf	Published version	2.56 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Wang, Y
dc.contributor.author	Qi, F
dc.contributor.author	Zhang, Z-X
dc.contributor.author	Wang, J-K
dc.date.accessioned	2024-05-28T06:47:29Z
dc.date.available	2024-05-28T06:47:29Z
dc.date.issued	2023-03-01
dc.identifier.citation	Chinese Physics B, 2023, 32, (3), pp. 038702
dc.identifier.issn	1674-1056
dc.identifier.uri	http://hdl.handle.net/10453/179279
dc.description.abstract	Terahertz THz imaging has drawn significant attention because THz wave has a unique capability to transient ultra wide spectrum and low photon energy However the low resolution has always been a problem due to its long wavelength limiting their application of fields practical use In this paper we proposed a complex one shot super resolution COSSR framework based on a complex convolution neural network to restore superior THz images at 0 35 times wavelength by extracting features directly from a reference measured sample and groundtruth without the measured PSF Compared with real convolution neural network based approaches and complex zero shot super resolution CZSSR COSSR delivers at least 6 67 0 003 and 6 96 superior higher imaging efficacy in terms of peak signal to noise ratio PSNR mean square error MSE and structural similarity index measure SSIM respectively for the analyzed data Additionally the proposed method is experimentally demonstrated to have a good generalization and to perform well on measured data The COSSR provides a new pathway for THz imaging super resolution SR reconstruction below the diffraction limit
dc.language	en
dc.publisher	IOP Publishing
dc.relation.ispartof	Chinese Physics B
dc.relation.isbasedon	10.1088/1674-1056/aca9c7
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 02 Physical Sciences, 09 Engineering
dc.subject.classification	General Physics
dc.subject.classification	40 Engineering
dc.subject.classification	49 Mathematical sciences
dc.subject.classification	51 Physical sciences
dc.title	Super-resolution reconstruction algorithm for terahertz imaging below diffraction limit
dc.type	Journal Article
utslib.citation.volume	32
utslib.for	01 Mathematical Sciences
utslib.for	02 Physical Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2024-05-28T06:47:27Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	32
utslib.citation.issue	3

Abstract:

Terahertz THz imaging has drawn significant attention because THz wave has a unique capability to transient ultra wide spectrum and low photon energy However the low resolution has always been a problem due to its long wavelength limiting their application of fields practical use In this paper we proposed a complex one shot super resolution COSSR framework based on a complex convolution neural network to restore superior THz images at 0 35 times wavelength by extracting features directly from a reference measured sample and groundtruth without the measured PSF Compared with real convolution neural network based approaches and complex zero shot super resolution CZSSR COSSR delivers at least 6 67 0 003 and 6 96 superior higher imaging efficacy in terms of peak signal to noise ratio PSNR mean square error MSE and structural similarity index measure SSIM respectively for the analyzed data Additionally the proposed method is experimentally demonstrated to have a good generalization and to perform well on measured data The COSSR provides a new pathway for THz imaging super resolution SR reconstruction below the diffraction limit

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/179279