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المؤلفBelhi, Abdelhak
المؤلفBouras, Abdelaziz
المؤلفAlfaqheri, Taha
المؤلفAondoakaa, Akuha Solomon
المؤلفSadka, Abdul Hamid
تاريخ الإتاحة2020-05-14T09:55:43Z
تاريخ النشر2019
اسم المنشورSignal Processing: Image Communication
المصدرScopus
الرقم المعياري الدولي للكتاب9235965
معرّف المصادر الموحدhttp://dx.doi.org/10.1016/j.image.2019.04.005
معرّف المصادر الموحدhttp://hdl.handle.net/10576/14819
الملخصThrough this paper, we aim at investigating the impact of using deep learning-based technologies such as super-resolution on Holoscopic 3D (H3D) images. Holoscopic 3D imaging is a technology that aims at providing cost-effective alternatives for 3D content viewing and consumption without requiring a special headgear or posture. The technique is using a special lens array fitted to standard DSLR or mirrorless cameras to generate or capture 3D content. The output is a Holoscopic 3D image that can be displayed in lightfield displays or Multiview displays following a post-processing procedure. The main advantage of this technique is its cost-effectiveness in viewing and interacting with 3D content. However, one of its drawbacks is the low spatial density of the commercial cameras CMOS sensors and the lens induced imperfections. The latter can be fixed in software using some distortion correction techniques. However, the former is still challenging in terms of techniques that result in naturally looking output. Mitigating such issues with hardware will lead to higher costs and the technique loses its main advantage. Our approach consists of designing a framework that leverages software tools in order to upscale the output of H3D cameras whilst solving the low spatial density problem of H3D images. We also investigate the impact of deep learning-based video motion interpolation on the output quality of the cultural H3D imaging framework. - 2019
راعي المشروعThis publication was made possible by NPRP grant 9-181-1-036 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors ( www.ceproqha.qa ). The authors would also like to thank Mr. Marc Pelletreau, the MIA Multimedia team, the Art Curators and the management staff of the Museum of Islamic art, Doha Qatar for their help and contribution in the data acquisition.
اللغةen
الناشرElsevier B.V.
الموضوع3D holoscopic imaging
Cultural heritage
Deep learning
Super-resolution
العنوانInvestigating 3D holoscopic visual content upsampling using super-resolution for cultural heritage digitization
النوعArticle
الصفحات188-198
رقم المجلد75
dc.accessType Abstract Only


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