{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T05:06:41Z","timestamp":1768280801661,"version":"3.49.0"},"reference-count":52,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62403275"],"award-info":[{"award-number":["62403275"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tci.2025.3608958","type":"journal-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T17:13:25Z","timestamp":1761930805000},"page":"203-215","source":"Crossref","is-referenced-by-count":0,"title":["HEDU-Net: Improving Spectral Snapshot Compressive Imaging With Explicable Degradation Compensation"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9954-4320","authenticated-orcid":false,"given":"Jingxuan","family":"Geng","sequence":"first","affiliation":[{"name":"Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3479-1026","authenticated-orcid":false,"given":"Jiamin","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2512-0634","authenticated-orcid":false,"given":"Yonggang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Central South University, Changsha, China"}]},{"given":"Chunhua","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Automation, Central South University, Changsha, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3101916"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3023869"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2015.2416683"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2655112"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/35017638"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.19.1.010901"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1364\/OL.393213"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2918387"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3189105"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1364\/AO.47.000B44"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3335228"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/AO.54.000848"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532817"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2873587"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01028"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661262"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1364\/AO.49.006824"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2621050"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.405"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_12"},{"key":"ref23","first-page":"2622","article-title":"Self-supervised neural networks for spectral snapshot compressive imaging","volume-title":"Proc. IEEECVF Int. Conf. Image Process.","author":"Meng"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506316"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00416"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01701"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01595"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01702"},{"key":"ref29","article-title":"GAP-Net for snapshot compressive imaging","author":"Meng","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00173"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01183"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00901"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.198"},{"key":"ref35","first-page":"37749","article-title":"Degradation-aware unfolding half-shuffle transformer for spectral compressive imaging","volume-title":"Proc. Adv. Neural. Inf. Process. Syst.","volume":"35","author":"Cai","year":"2022"},{"key":"ref36","first-page":"5430","article-title":"A trainable spectral-spatial sparse coding model for hyperspectral image restoration","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Bodrito","year":"2021"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01032"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3131878"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02132"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106250"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.909319"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2015.7447163"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.55"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01698"},{"key":"ref45","article-title":"Coarse-to-fine video denoising with dual-stage spatial-channel transformer","author":"Yun","year":"2022"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/s23115142"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00822"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3265103"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3304450"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3410272"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/tci.2024.3458421"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2024.3468615"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6745852\/11302051\/11223769.pdf?arnumber=11223769","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:03:46Z","timestamp":1768255426000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11223769\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/tci.2025.3608958","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]}}}