{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:22:40Z","timestamp":1775082160780,"version":"3.50.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3674626","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:24:47Z","timestamp":1773779087000},"page":"42663-42673","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Atmospheric Turbulence Mitigation Using CPU-Based Multiframe Fusion on Embedded Electro-Optical Systems"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9404-6394","authenticated-orcid":false,"given":"Zuhal","family":"Han\u00e7er","sequence":"first","affiliation":[{"name":"OPSIN Electro-Optical Systems Inc., Ankara, Türkiye"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6140-1487","authenticated-orcid":false,"given":"Ozan","family":"\u015eenyayla","sequence":"additional","affiliation":[{"name":"OPSIN Electro-Optical Systems Inc., Ankara, Türkiye"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1170-5327","authenticated-orcid":false,"given":"Veli","family":"Bak\u0131rc\u0131o\u011flu","sequence":"additional","affiliation":[{"name":"Technical Sciences Vocational School, Aksaray University, Aksaray, Türkiye"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.56.001372"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1201\/9781003140191"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/12.453519"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/1.oe.56.7.071506"},{"key":"ref5","volume-title":"Wave Propagation in a Turbulent Medium","author":"Tatarski","year":"2016"},{"key":"ref6","volume-title":"Imaging Through Turbulence","author":"Roggemann","year":"1996"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1561\/0600000103"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195090192.001.0001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/physrevapplied.22.034047"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/1.601623"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs15164053"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-13049-5"},{"issue":"10","key":"ref13","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1038\/s42256-021-00392-1","article-title":"Neutralizing the impact of atmospheric turbulence on complex scene imaging via deep learning","volume":"3","author":"Jin","year":"2021","journal-title":"Nature Mach. Intell."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2024.3354421"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/1.oe.60.3.033103"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/photonics10060666"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-11086-6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3392941"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3623402"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3190350"},{"key":"ref24","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01118"},{"key":"ref26","first-page":"10041","article-title":"Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Dao"},{"key":"ref27","article-title":"Efficiently modeling long sequences with structured state spaces","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Gu"},{"key":"ref28","first-page":"58791","article-title":"Quamba: A post-training quantization recipe for selective state space models","volume-title":"Proc. 13th Int. Conf. Learn. Represent.","author":"Chiang"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3610435"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3455289"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11435877.pdf?arnumber=11435877","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:13:39Z","timestamp":1775074419000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11435877\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3674626","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}