{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T08:40:03Z","timestamp":1793176803258,"version":"4.5.0"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009076","name":"University of Science and Technology of China","doi-asserted-by":"publisher","award":["YD2090002015"],"award-info":[{"award-number":["YD2090002015"]}],"id":[{"id":"10.13039\/501100009076","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62405306"],"award-info":[{"award-number":["62405306"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12174368"],"award-info":[{"award-number":["12174368"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62122072"],"award-info":[{"award-number":["62122072"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61905112"],"award-info":[{"award-number":["61905112"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["WK2090000083"],"award-info":[{"award-number":["WK2090000083"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010816","name":"Anhui Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["18030801138"],"award-info":[{"award-number":["18030801138"]}],"id":[{"id":"10.13039\/501100010816","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010816","name":"Anhui Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["202203a07020020"],"award-info":[{"award-number":["202203a07020020"]}],"id":[{"id":"10.13039\/501100010816","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["2408085QF187"],"award-info":[{"award-number":["2408085QF187"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFA1404400"],"award-info":[{"award-number":["2022YFA1404400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Photoacoustics"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.pacs.2026.100887","type":"journal-article","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T07:14:18Z","timestamp":1790061258000},"page":"100887","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Blind single image restoration for ring-array photoacoustic tomography system via physics-aided unsupervised learning"],"prefix":"10.1016","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1410-2521","authenticated-orcid":false,"given":"Wende","family":"Dong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenlong","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Songde","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6075","key":"10.1016\/j.pacs.2026.100887_bib1","doi-asserted-by":"crossref","first-page":"1458","DOI":"10.1126\/science.1216210","article-title":"Photoacoustic tomography: in vivo imaging from organelles to organs","volume":"335","author":"Wang","year":"2012","journal-title":"Science"},{"issue":"8","key":"10.1016\/j.pacs.2026.100887_bib2","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1038\/nmeth.3925","article-title":"A practical guide to photoacoustic tomography in the life sciences","volume":"13","author":"Wang","year":"2016","journal-title":"Nat. Methods"},{"issue":"3","key":"10.1016\/j.pacs.2026.100887_bib3","doi-asserted-by":"crossref","first-page":"R06","DOI":"10.3788\/PI.2024.R06","article-title":"Image reconstruction from photoacoustic projections","volume":"3","author":"Tian","year":"2024","journal-title":"Photonics Insights"},{"issue":"11","key":"10.1016\/j.pacs.2026.100887_bib4","doi-asserted-by":"crossref","DOI":"10.1088\/0266-5611\/26\/11\/115003","article-title":"Photoacoustic tomography in absorbing acoustic media using time reversal","volume":"26","author":"Treeby","year":"2010","journal-title":"Inverse Probl."},{"issue":"3","key":"10.1016\/j.pacs.2026.100887_bib5","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.92.033902","article-title":"Time reversal and its application to tomography with diffracting sources","volume":"92","author":"Xu","year":"2004","journal-title":"Phys. Rev. Lett."},{"issue":"8","key":"10.1016\/j.pacs.2026.100887_bib6","doi-asserted-by":"crossref","first-page":"1661","DOI":"10.1118\/1.1493778","article-title":"Pulsed-microwave-induced thermoacoustic tomography: Filtered backprojection in a circular measurement configuration","volume":"29","author":"Xu","year":"2002","journal-title":"Med. Phys."},{"issue":"1","key":"10.1016\/j.pacs.2026.100887_bib7","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.71.016706","article-title":"Universal back-projection algorithm for photoacoustic computed tomography","volume":"71","author":"Xu","year":"2005","journal-title":"Phys. Rev. E."},{"issue":"4","key":"10.1016\/j.pacs.2026.100887_bib8","doi-asserted-by":"crossref","first-page":"1536","DOI":"10.1121\/1.1501898","article-title":"Iterative reconstruction algorithm for optoacoustic imaging","volume":"112","author":"Paltauf","year":"2002","journal-title":"J. Acoust. Soc. Am."},{"issue":"17","key":"10.1016\/j.pacs.2026.100887_bib9","doi-asserted-by":"crossref","first-page":"5399","DOI":"10.1088\/0031-9155\/57\/17\/5399","article-title":"Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography","volume":"57","author":"Wang","year":"2012","journal-title":"Phys. Med. Biol."},{"issue":"14","key":"10.1016\/j.pacs.2026.100887_bib10","doi-asserted-by":"crossref","first-page":"15947","DOI":"10.1364\/OE.25.015947","article-title":"Noninvasive chorioretinal imaging in living rabbits using integrated photoacoustic microscopy and optical coherence tomography","volume":"25","author":"Tian","year":"2017","journal-title":"Opt. Express"},{"key":"10.1016\/j.pacs.2026.100887_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.pacs.2019.100144","article-title":"A review of clinical photoacoustic imaging: Current and future trends","volume":"16","author":"Attia","year":"2019","journal-title":"Photoacoustics"},{"issue":"5","key":"10.1016\/j.pacs.2026.100887_bib12","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.67.056605","article-title":"Analytic explanation of spatial resolution related to bandwidth and detector aperture size in thermoacoustic or photoacoustic reconstruction","volume":"67","author":"Xu","year":"2003","journal-title":"Phys. Rev. E."},{"issue":"3","key":"10.1016\/j.pacs.2026.100887_bib13","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6633\/abdab9","article-title":"Spatial resolution in photoacoustic computed tomography","volume":"84","author":"Tian","year":"2021","journal-title":"Rep. Prog. Phys."},{"issue":"3","key":"10.1016\/j.pacs.2026.100887_bib14","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/83.661187","article-title":"Total variation blind deconvolution","volume":"7","author":"Chan","year":"1998","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.pacs.2026.100887_bib15","article-title":"Total variation-based image deconvolution: a majorization-minimization approach","author":"Bioucas-Dias","year":"2006","journal-title":"IEEE Int. Conf. Acoust. Speech Signal. Process."},{"key":"10.1016\/j.pacs.2026.100887_bib16","volume":"328","author":"Tikhonov","year":"1995"},{"issue":"2","key":"10.1016\/j.pacs.2026.100887_bib17","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1080\/17415970701404235","article-title":"Tikhonov regularized Poisson likelihood estimation: theoretical justification and a computational method","volume":"16","author":"Bardsley","year":"2008","journal-title":"Inverse Probl. Sci. En."},{"issue":"3","key":"10.1016\/j.pacs.2026.100887_bib18","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1145\/1276377.1276464","article-title":"Image and depth from a conventional camera with a coded aperture","volume":"26","author":"Levin","year":"2007","journal-title":"ACM Trans. Graph."},{"key":"10.1016\/j.pacs.2026.100887_bib19","first-page":"1033","article-title":"Fast image deconvolution using hyper-laplacian priors","author":"Krishnan","year":"2009","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.pacs.2026.100887_bib20","doi-asserted-by":"crossref","first-page":"1030","DOI":"10.1109\/TIP.2020.3038518","article-title":"Blind deconvolution for poissonian blurred image with total variation and L0-norm gradient regularizations","volume":"30","author":"Dong","year":"2021","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"10.1016\/j.pacs.2026.100887_bib21","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1109\/TPAMI.2009.97","article-title":"Correction of spatially varying image and video motion blur using a hybrid camera","volume":"32","author":"Tai","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.pacs.2026.100887_bib22","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1145\/1778765.1778767","article-title":"Image deblurring using inertial measurement sensors","volume":"29","author":"Joshi","year":"2010","journal-title":"ACM Trans. Graph."},{"key":"10.1016\/j.pacs.2026.100887_bib23","article-title":"Single image deblurring using motion density functions","author":"Gupta","year":"2010","journal-title":"Eur. Conf. Comput. Vis."},{"issue":"2","key":"10.1016\/j.pacs.2026.100887_bib24","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1007\/s11263-011-0502-7","article-title":"Non-uniform deblurring for shaken images","volume":"98","author":"Whyte","year":"2012","journal-title":"Int. J. Comput. Vis."},{"issue":"10","key":"10.1016\/j.pacs.2026.100887_bib25","doi-asserted-by":"crossref","first-page":"3739","DOI":"10.1109\/TIP.2013.2257809","article-title":"Non-uniform deblurring in HDR image reconstruction","volume":"22","author":"Vijay","year":"2013","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"10.1016\/j.pacs.2026.100887_bib26","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1109\/TMM.2014.2321734","article-title":"Efficient patch-wise non-uniform deblurring for a single image","volume":"16","author":"Yu","year":"2014","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.pacs.2026.100887_bib27","first-page":"8183","article-title":"DeblurGAN: Blind motion deblurring using conditional adversarial networks","author":"Kupyn","year":"2018","journal-title":"IEEE Conf. Comput. Vis. Pattern Recognit."},{"key":"10.1016\/j.pacs.2026.100887_bib28","first-page":"8877","article-title":"DeblurGAN-v2: Deblurring (orders-of-magnitude) faster and better","author":"Kupyn","year":"2019","journal-title":"IEEE Int. Conf. Comput. Vis."},{"key":"10.1016\/j.pacs.2026.100887_bib29","first-page":"17683","article-title":"Uformer: A general U-shaped transformer for image restoration","author":"Wang","year":"2022","journal-title":"IEEE Conf. Comput. Vis. Pattern Recognit."},{"key":"10.1016\/j.pacs.2026.100887_bib30","first-page":"5718","article-title":"Restormer: Efficient transformer for high-resolution image restoration","author":"Zamir","year":"2022","journal-title":"IEEE Conf. Comput. Vis. Pattern Recognit."},{"key":"10.1016\/j.pacs.2026.100887_bib31","unstructured":"S. Lee, H. Chung, J. Kim, J.C. Ye, Progressive deblurring of diffusion models for coarse-to-fine image synthesis, arXiv preprint arXiv:2207.11192 (2022)."},{"key":"10.1016\/j.pacs.2026.100887_bib32","article-title":"Hierarchical integration diffusion model for realistic image deblurring","volume":"36","author":"Chen","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.pacs.2026.100887_bib33","first-page":"7564","article-title":"Reconstruction of photoacoustic tomography with finite-aperture detectors: deconvolution of the spatial impulse response","author":"Li","year":"2010","journal-title":"Conf. Photons Plus. Ultrasound - Imaging Sens."},{"key":"10.1016\/j.pacs.2026.100887_bib34","doi-asserted-by":"crossref","DOI":"10.1016\/j.pacs.2020.100193","article-title":"Full-frequency correction of spatial impulse response in back-projection scheme using space-variant filtering for optoacoustic mesoscopy","volume":"19","author":"Lu","year":"2020","journal-title":"Photoacoustics"},{"issue":"10","key":"10.1016\/j.pacs.2026.100887_bib35","doi-asserted-by":"crossref","first-page":"1994","DOI":"10.1364\/JOSAA.30.001994","article-title":"Deconvolution-based deblurring of reconstructed images in photoacoustic\/thermoacoustic tomography","volume":"Vis. 30","author":"Rejesh","year":"2013","journal-title":"J. Opt. Soc. Am. Opt. Image Sci."},{"issue":"2","key":"10.1016\/j.pacs.2026.100887_bib36","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1109\/TMI.2010.2072514","article-title":"An imaging model incorporating ultrasonic transducer properties for three-dimensional optoacoustic tomography","volume":"30","author":"Wang","year":"2011","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"10","key":"10.1016\/j.pacs.2026.100887_bib37","doi-asserted-by":"crossref","first-page":"2436","DOI":"10.1364\/JOSAA.25.002436","article-title":"Deconvolution reconstruction of full-view and limited-view photoacoustic tomography: a simulation study","volume":"25","author":"Zhang","year":"2008","journal-title":"J. Opt. Soc. Am. A. Opt. Image Sci. Vis."},{"issue":"1","key":"10.1016\/j.pacs.2026.100887_bib38","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1109\/JPHOT.2010.2042801","article-title":"Fast and robust deconvolution-based image reconstruction for photoacoustic tomography in circular geometry: experimental validation","volume":"2","author":"Zhang","year":"2010","journal-title":"IEEE Photonics J."},{"key":"10.1016\/j.pacs.2026.100887_bib39","doi-asserted-by":"crossref","DOI":"10.1016\/j.pacs.2022.100405","article-title":"Enhancing optoacoustic mesoscopy through calibration-based iterative reconstruction","volume":"28","author":"Hofmann","year":"2022","journal-title":"Photoacoustics"},{"issue":"10","key":"10.1016\/j.pacs.2026.100887_bib40","doi-asserted-by":"crossref","first-page":"3218","DOI":"10.1109\/TMI.2020.2989236","article-title":"A synthetic total impulse response characterization method for correction of hand-held optoacoustic images","volume":"39","author":"Chowdhury","year":"2020","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.pacs.2026.100887_bib41","doi-asserted-by":"crossref","unstructured":"X. Song, L. Song, A. Chen, J. Wei, Deconvolution optical-resolution photoacoustic microscope for high-resolution imaging of brain, SPIE Future Sensing Technologies Conference. vol. 11525 (2020).","DOI":"10.1117\/12.2584875"},{"issue":"9","key":"10.1016\/j.pacs.2026.100887_bib42","doi-asserted-by":"crossref","DOI":"10.1002\/jbio.201700360","article-title":"vivo blind-deconvolution photoacoustic ophthalmoscopy with total variation regularization","volume":"11","author":"Xie","year":"2018","journal-title":"J. Biophotonics."},{"issue":"9","key":"10.1016\/j.pacs.2026.100887_bib43","doi-asserted-by":"crossref","first-page":"2318","DOI":"10.1109\/TMI.2021.3077022","article-title":"Photoacoustic tomography image restoration with measured spatially variant point spread functions","volume":"40","author":"Qi","year":"2021","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"13","key":"10.1016\/j.pacs.2026.100887_bib44","doi-asserted-by":"crossref","first-page":"21641","DOI":"10.1364\/OE.486846","article-title":"Spatially-variant image deconvolution for photoacoustic tomography","volume":"31","author":"Xie","year":"2023","journal-title":"Opt. Express"},{"key":"10.1016\/j.pacs.2026.100887_bib45","doi-asserted-by":"crossref","DOI":"10.1016\/j.pacs.2024.100607","article-title":"Image restoration for ring-array photoacoustic tomography system based on blind spatially rotational deconvolution","volume":"38","author":"Dong","year":"2024","journal-title":"Photoacoustics"},{"key":"10.1016\/j.pacs.2026.100887_bib46","article-title":"Deep learning for biomedical photoacoustic imaging: A review","volume":"22","author":"Groehl","year":"2021","journal-title":"Photoacoustics"},{"issue":"10","key":"10.1016\/j.pacs.2026.100887_bib47","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1038\/s42256-019-0095-3","article-title":"Deep learning optoacoustic tomography with sparse data","volume":"1","author":"Davoudi","year":"2019","journal-title":"Nat. Mach. Intell."},{"key":"10.1016\/j.pacs.2026.100887_bib48","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2021.598693","article-title":"A deep learning approach for the photoacoustic tomography recovery from undersampled measurements","volume":"15","author":"Shahid","year":"2021","journal-title":"Front. Neurosci."},{"issue":"13","key":"10.1016\/j.pacs.2026.100887_bib49","doi-asserted-by":"crossref","first-page":"3029","DOI":"10.1364\/OL.424571","article-title":"Deep learning of image and time-domain data enhances the visibility of structures in optoacoustic tomography","volume":"46","author":"Davoudi","year":"2021","journal-title":"Opt. Lett."},{"issue":"13","key":"10.1016\/j.pacs.2026.100887_bib50","doi-asserted-by":"crossref","DOI":"10.3390\/app9132615","article-title":"Accelerated correction of reflection artifacts by deep neural networks in photoacoustic tomography","volume":"9","author":"Shan","year":"2019","journal-title":"Appl. Sci."},{"issue":"18","key":"10.1016\/j.pacs.2026.100887_bib51","doi-asserted-by":"crossref","first-page":"4510","DOI":"10.1364\/OL.434513","article-title":"Deep-learning-based multi-transducer photoacoustic tomography imaging without radius calibration","volume":"46","author":"Rajendran","year":"2021","journal-title":"Opt. Lett."},{"key":"10.1016\/j.pacs.2026.100887_bib52","doi-asserted-by":"crossref","unstructured":"S. Jeon, C. Kim, Deep learning-based speed of sound aberration correction in photoacoustic images, Conf. Photons. Plus. Ultrasound - Imaging and Sensing. 11240 (2020).","DOI":"10.1117\/12.2543440"},{"key":"10.1016\/j.pacs.2026.100887_bib53","doi-asserted-by":"crossref","unstructured":"V. Lempitsky, A. Vedaldi, D. Ulyanov, Deep image prior, IEEE Conf. Comput.Vis. Pattern Recognit. (2018) 9446-9454.","DOI":"10.1109\/CVPR.2018.00984"},{"issue":"7","key":"10.1016\/j.pacs.2026.100887_bib54","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1109\/TMI.2018.2888491","article-title":"PET image reconstruction using deep image prior, IEEE Trans","volume":"38","author":"Gong","year":"2019","journal-title":"Med. Imaging"},{"issue":"8","key":"10.1016\/j.pacs.2026.100887_bib55","doi-asserted-by":"crossref","first-page":"9627","DOI":"10.1109\/TPAMI.2023.3240565","article-title":"DeepEIT: Deep image prior enabled electrical impedance tomography","volume":"45","author":"Liu","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"10.1016\/j.pacs.2026.100887_bib56","doi-asserted-by":"crossref","first-page":"11472","DOI":"10.1109\/TPAMI.2023.3283979","article-title":"Blind image deconvolution using variational deep image prior","volume":"45","author":"Huo","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.pacs.2026.100887_bib57","doi-asserted-by":"crossref","DOI":"10.1016\/j.pacs.2023.100536","article-title":"Learning spatially variant degradation for unsupervised blind photoacoustic tomography image restoration","volume":"32","author":"Tang","year":"2023","journal-title":"Photoacoustics"},{"key":"10.1016\/j.pacs.2026.100887_bib58","first-page":"380","article-title":"JPEG information regularized deep image prior for denoising","author":"Takagi","year":"2023","journal-title":"IEEE Int. Conf. Inf. Process."},{"issue":"2","key":"10.1016\/j.pacs.2026.100887_bib59","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1111\/j.2517-6161.1974.tb00999.x","article-title":"Spatial interaction and the statistical analysis of lattice systems","volume":"36","author":"Besag","year":"1974","journal-title":"J. R. Stat. Soc. B."},{"issue":"3","key":"10.1016\/j.pacs.2026.100887_bib60","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1137\/080724265","article-title":"A new alternating minimization algorithm for total variation image reconstruction","volume":"1","author":"Wang","year":"2008","journal-title":"SIAM J. Imaging Sci."},{"issue":"12","key":"10.1016\/j.pacs.2026.100887_bib61","doi-asserted-by":"crossref","first-page":"3133","DOI":"10.1109\/TIP.2010.2053941","article-title":"Restoration of Poissonian images using alternating direction optimization","volume":"19","author":"Figueiredo","year":"2010","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.pacs.2026.100887_bib62","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2021.103370","article-title":"An adaptive two phase blind image deconvolution algorithm for an iterative regularization model","volume":"81","author":"Tao","year":"2021","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.pacs.2026.100887_bib63","unstructured":"D.P. Kingma, Adam: A method for stochastic optimization, arXiv preprint arXiv:1412.6980 (2014)."},{"key":"10.1016\/j.pacs.2026.100887_bib64","article-title":"Early stopping for deep image prior","author":"Wang","year":"2023","journal-title":"Trans. Mach. Learn. Res."},{"key":"10.1016\/j.pacs.2026.100887_bib65","first-page":"3447","article-title":"Blind image deblurring with FFT-ReLU sparsity prior","author":"Al Radi","year":"2025","journal-title":"IEEE\/CVF Winter Conf. Appl. Comput. Vis."},{"key":"10.1016\/j.pacs.2026.100887_bib66","doi-asserted-by":"crossref","first-page":"7060","DOI":"10.52202\/079017-0226","article-title":"Cross-scale self-supervised blind image deblurring via implicit neural representation","author":"Zhang","year":"2024","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"10.1016\/j.pacs.2026.100887_bib67","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1109\/TPAMI.2016.2551244","article-title":"L0-regularized intensity and gradient prior for deblurring text images and beyond","volume":"39","author":"Pan","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.pacs.2026.100887_bib68","first-page":"495","article-title":"Handling outliers in non-blind image deconvolution","author":"Cho","year":"2011","journal-title":"IEEE Int. Conf. Comput. Vision."},{"key":"10.1016\/j.pacs.2026.100887_bib69","first-page":"745","article-title":"Deblurring shaken and partially saturated images","author":"Whyte","year":"2011","journal-title":"IEEE Int. Conf. Comput. Vision."},{"key":"10.1016\/j.pacs.2026.100887_bib70","first-page":"1790","article-title":"Deep convolutional neural network for image deconvolution","author":"Xu","year":"2014","journal-title":"Adv. Neural Inform. Process. Syst."}],"container-title":["Photoacoustics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213597926000935?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213597926000935?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T08:28:33Z","timestamp":1793176113000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213597926000935"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":70,"alternative-id":["S2213597926000935"],"URL":"https:\/\/doi.org\/10.1016\/j.pacs.2026.100887","relation":{},"ISSN":["2213-5979"],"issn-type":[{"value":"2213-5979","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Blind single image restoration for ring-array photoacoustic tomography system via physics-aided unsupervised learning","name":"articletitle","label":"Article Title"},{"value":"Photoacoustics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.pacs.2026.100887","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier GmbH.","name":"copyright","label":"Copyright"}],"article-number":"100887"}}