Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16909
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dc.contributor.authorRosen, Joseph-
dc.contributor.authorAlford, Simon-
dc.contributor.authorAllan, Blake-
dc.contributor.authorAnand, Vijayakumar-
dc.contributor.authorArnon, Shlomi-
dc.contributor.authorArockiaraj, Francis Gracy-
dc.contributor.authorArt, Jonathan-
dc.contributor.authorBai, Bijie-
dc.contributor.authorBalasubramaniam, Ganesh M-
dc.contributor.authorBirnbaum, Tobias-
dc.contributor.authorBisht, Nandan S-
dc.contributor.authorBlinder, David-
dc.contributor.authorCao, Liangcai-
dc.contributor.authorChen, Qian-
dc.contributor.authorChen, Ziyang-
dc.contributor.authorDubey, Vishesh-
dc.contributor.authorEgiazarian, Karen-
dc.contributor.authorErcan, Mert-
dc.contributor.authorForbes, Andrew-
dc.contributor.authorGopakumar, G-
dc.contributor.authorGao, Yunhui-
dc.contributor.authorGigan, Sylvain-
dc.contributor.authorGoc?owski, Pawe?-
dc.contributor.authorGopinath, Shivasubramanian-
dc.contributor.authorGreenbaum, Alon-
dc.contributor.authorHorisaki, Ryoichi-
dc.contributor.authorIerodiaconou, Daniel-
dc.contributor.authorJuodkazis, Saulius-
dc.contributor.authorKarmakar, Tanushree-
dc.contributor.authorKatkovnik, Vladimir-
dc.contributor.authorKhonina, Svetlana N-
dc.contributor.authorKner, Peter-
dc.contributor.authorKravets, Vladislav-
dc.contributor.authorKumar, Ravi-
dc.contributor.authorLai, Yingming-
dc.contributor.authorLi, Chen-
dc.contributor.authorLi, Jiaji-
dc.contributor.authorLi, Shaoheng-
dc.contributor.authorLi, Yuzhu-
dc.contributor.authorLiang, Jinyang-
dc.contributor.authorManavalan, Gokul-
dc.contributor.authorMandal, Aditya Chandra-
dc.contributor.authorManisha, Manisha-
dc.contributor.authorMann, Christopher-
dc.contributor.authorMarzejon, Marcin J-
dc.contributor.authorMoodley, Chané-
dc.contributor.authorMorikawa, Junko-
dc.contributor.authorMuniraj, Inbarasan-
dc.contributor.authorNarbutis, Donatas-
dc.contributor.authorNg, Soon Hock-
dc.contributor.authorNothlawala, Fazilah-
dc.contributor.authorOh, Jeonghun-
dc.contributor.authorOzcan, Aydogan-
dc.contributor.authorPark, YongKeun-
dc.contributor.authorPorfirev, Alexey P-
dc.contributor.authorPotcoava, Mariana-
dc.contributor.authorPrabhakar, Shashi-
dc.contributor.authorPu, Jixiong-
dc.contributor.authorRai, Mani Ratnam-
dc.contributor.authorRogalski, Miko?aj-
dc.contributor.authorRyu, Meguya-
dc.contributor.authorChoudhary, Sakshi-
dc.contributor.authorSalla, Gangi Reddy-
dc.contributor.authorSchelkens, Peter-
dc.contributor.author?ener, Sarp Feykun-
dc.contributor.authorShevkunov, Igor-
dc.contributor.authorShimobaba, Tomoyoshi-
dc.contributor.authorSingh, Rakesh K-
dc.contributor.authorSingh, Ravindra P-
dc.contributor.authorStern, Adrian-
dc.contributor.authorSun, Jiasong-
dc.contributor.authorZhou, Shun-
dc.contributor.authorZuo, Chao-
dc.contributor.authorZurawski, Zack-
dc.contributor.authorTahara, Tatsuki-
dc.contributor.authorTiwari, Vipin-
dc.contributor.authorTrusiak, Maciej-
dc.contributor.authorVinu, R V-
dc.contributor.authorVolotovskiy, Sergey G-
dc.contributor.authorY?lmaz, Hasan-
dc.contributor.authorDe Aguiar, Hilton Barbosa-
dc.contributor.authorAhluwalia, Balpreet S-
dc.contributor.authorAhmad, Azeem-
dc.date.accessioned2024-12-12T09:38:23Z-
dc.date.available2024-12-12T09:38:23Z-
dc.date.issued2024-
dc.identifier.citationVol. 130, No. 9en_US
dc.identifier.issn0946-2171-
dc.identifier.urihttps://doi.org/10.1007/s00340-024-08280-3-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16909-
dc.description.abstractComputational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario in four major areas namely incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging. In addition to registering the perspectives of the modern-day architects of the above research areas, the roadmap also reports some of the latest studies on the topic. Computational codes and pseudocodes are presented for computational methods in a plug-and-play fashion for readers to not only read and understand but also practice the latest algorithms with their data. We believe that this roadmap will be a valuable tool for analyzing the current trends in computational methods to predict and prepare the future of computational methods in optical imaging and holography. © The Author(s) 2024.en_US
dc.language.isoenen_US
dc.publisherApplied Physics B: Lasers and Opticsen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.subjectHolographyen_US
dc.subjectOptical Image Storageen_US
dc.subjectOptical Recordingen_US
dc.subjectOptical Tomographyen_US
dc.subjectSuperpixelsen_US
dc.titleRoadmap on Computational Methods In Optical Imaging and Holography [Invited]en_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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