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Subject: search.filters.subject.Image reconstruction

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Now showing 1 - 4 of 4
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    A Surface deformation framework for 3D shape recovery
    (Koç University, 2006) Sahillioğlu, Yusuf; Yemez, Yücel; 0000-0002-7515-3138; Koç University Graduate School of Sciences and Engineering; Electrical and Computer Engineering; 107907
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    Enhancing brightness with multi-color holography
    (John Wiley and Sons Inc, 2024) Shi, Liang; Matusik, Wojciech; Akşit, Kaan; Department of Electrical and Electronics Engineering; Kavaklı, Koray; Ürey, Hakan; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering
    Holographic displays traditionally project full-colored holograms time-sequentially to achieve colored images. Time-sequential image formation limits the achievable brightness levels. This work introduces a new method to achieve brighter images in holographic displays. Unlike the usual approach, our method allows three light sources to simultaneously illuminate the displayed holograms at different intensity levels. We optimize phase holograms along with the required intensity levels for each frame using our gradient-descent based optimization pipeline. © 2024, John Wiley and Sons Inc. All rights reserved.
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    Improving defocus blur in holographic displays
    (John Wiley and Sons Inc, 2023) Itoh, Yuta; Akşit, Kaan; Department of Electrical and Electronics Engineering; Kavaklı, Koray; Ürey, Hakan; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering
    In this paper we present a novel multiplane computer generated hologram calculation approach that enables artifact free and realistic-looking defocus blur for optical reconstructions in a holographic display. We introduce a new targeting method and a loss function that evaluates the focused and defocused parts of the reconstructed images. We demonstrate that our method is applicable to various standard hologram generation routines such for both iterative and non-iterative CGH calculation methods. We also demonstrate our new gradient descent-based optimization with double phase constraint combined with our targeting scheme and loss function provides the best image quality. We validate our findings for both the numerical reconstructions and optical captures that are acquired from our holographic display prototype. © 2023, John Wiley and Sons Inc. All rights reserved.
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    Learned image restoration and super-resolution
    (Koç University, 2018) Kırmemiş, Ogün; Tekalp, Ahmet Murat; 0000-0003-1465-8121; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 26207