{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T18:07:22Z","timestamp":1774030042246,"version":"3.50.1"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100019779","name":"Qatar National Library","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100019779","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3424972","type":"journal-article","created":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T17:41:32Z","timestamp":1720460492000},"page":"98816-98834","source":"Crossref","is-referenced-by-count":6,"title":["Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2636-8053","authenticated-orcid":false,"given":"Khatereh","family":"Mohammadi","sequence":"first","affiliation":[{"name":"Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashhadul","family":"Islam","sequence":"additional","affiliation":[{"name":"Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2336-0490","authenticated-orcid":false,"given":"Samir Brahim","family":"Belhaouari","sequence":"additional","affiliation":[{"name":"Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICICoS48119.2019.8982494"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4108\/eai.24-9-2020.166360"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSP48568.2020.9182265"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEAM48468.2020.9112080"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inpa.2021.01.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.35378\/gujs.1051655"},{"issue":"12","key":"ref8","first-page":"2433","article-title":"Image denoising using deep convolutional neural networks","volume":"38","author":"He","year":"2016","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref10","first-page":"2965","article-title":"Noise2noise: Learning image restoration without clean data","volume-title":"Proc. 35th Int. Conf. Mach. Learn. (ICML)","author":"Lehtinen"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.nima.2017.12.050"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839891"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247952"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref17","first-page":"769","article-title":"Natural image denoising with convolutional networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jain"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2016.0041"},{"key":"ref19","first-page":"524","article-title":"Learning processes in stacked autoencoders","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"2","author":"LeCun"},{"key":"ref20","article-title":"Winner-take-all autoencoders","author":"Makhzani","year":"2014","journal-title":"arXiv:1409.2752"},{"key":"ref21","article-title":"Stacked sparse denoising autoencoders for medical image reconstruction","volume":"121","author":"Li","year":"2020","journal-title":"Comput. Biol. Med."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3264604"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102043"},{"key":"ref25","article-title":"ResWCAE: Biometric pattern image denoising using residual wavelet-conditioned autoencoder","author":"Liang","year":"2023","journal-title":"arXiv:2307.12255"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2022.106834"},{"key":"ref27","article-title":"Autoencoders","author":"Bank","year":"2020","journal-title":"arXiv:2003.05991"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912036"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpc.2021.108201"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12110"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104831"},{"key":"ref32","article-title":"Understanding SSIM","author":"Nilsson","year":"2020","journal-title":"arXiv:2006.13846"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10589386.pdf?arnumber=10589386","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T17:45:45Z","timestamp":1721929545000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10589386\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3424972","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}