Enhancing the resolution of historical Ottoman texts using deep learning-based super-resolution techniques

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dc.authorid0000-0002-1351-7565
dc.contributor.authorTemiz, Hakan
dc.date.accessioned2025-07-25T07:41:23Z
dc.date.available2025-07-25T07:41:23Z
dc.date.issued2023
dc.departmentAÇÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractThe Ottoman Empire's extensive archives hold valuable insights into centuries of history, necessitating the preservation and transfer of this rich heritage to future generations. To facilitate access and analysis, numerous digitization efforts have been undertaken to transform these valuable resources into digital formats. The quality of digitized documents directly impacts the success of tasks such as text search, analysis, and character recognition. This study aims to enhance the resolution and overall image quality of Ottoman archive text images using four deep learning-based super-resolution (SR) algorithms: VDSR, SRCNN, DECUSR, and RED-Net. The performance of these algorithms was assessed using SSIM, PSNR, SCC, and VIF image quality measures (IQMs) and evaluated in terms of human visual system perception. All SR algorithms achieved promising IQM scores and a significant improvement in image quality. Experimental results demonstrate the potential of deep learning-based SR techniques in enhancing the resolution of historical Ottoman text images, paving the way for more accurate character recognition, text processing, and analysis of archival documents.
dc.identifier.doi10.18280/ts.400323
dc.identifier.endpage1082
dc.identifier.issn07650019
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85165513873
dc.identifier.startpage1075
dc.identifier.urihttps://hdl.handle.net/11494/5862
dc.identifier.volume40
dc.indekslendigikaynakScopus
dc.institutionauthorTemiz, Hakan
dc.institutionauthorid0000-0002-1351-7565
dc.language.isoen
dc.publisherInternational Information and Engineering Technology Association
dc.relation.ispartofTraitement du Signal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArchive
dc.subjectDeep learning
dc.subjectDocument
dc.subjectHistorical text image
dc.subjectOttoman
dc.subjectSuper resolution
dc.titleEnhancing the resolution of historical Ottoman texts using deep learning-based super-resolution techniques
dc.typeArticle

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