{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:57:41Z","timestamp":1764784661309},"reference-count":0,"publisher":"Society for Imaging Science & Technology","issue":"16","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ei"],"DOI":"10.2352\/issn.2470-1173.2021.16.color-243","type":"journal-article","created":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T01:07:19Z","timestamp":1620954439000},"page":"243-1-243-8","source":"Crossref","is-referenced-by-count":2,"title":["Deep Learning Approaches to Determining Optimal Resolution for Scanned Text Documents"],"prefix":"10.2352","volume":"33","author":[{"given":"Litao","family":"Hu","sequence":"first","affiliation":[]},{"given":"Zhenhua","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Bauer","sequence":"additional","affiliation":[]},{"given":"Todd J.","family":"Harris","sequence":"additional","affiliation":[]},{"given":"Jan P.","family":"Allebach","sequence":"additional","affiliation":[]}],"member":"1209","published-online":{"date-parts":[[2021,1,18]]},"container-title":["Electronic Imaging"],"original-title":[],"link":[{"URL":"https:\/\/library.imaging.org\/ei\/articles\/33\/16\/art00004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T12:33:35Z","timestamp":1646656415000},"score":1,"resource":{"primary":{"URL":"https:\/\/library.imaging.org\/ei\/articles\/33\/16\/art00004"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,18]]},"references-count":0,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,1,18]]}},"URL":"https:\/\/doi.org\/10.2352\/issn.2470-1173.2021.16.color-243","relation":{},"ISSN":["2470-1173"],"issn-type":[{"value":"2470-1173","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,18]]}}}