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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/81882


    Title: 數位光學相位共軛用於立體影像顯示之研究;Study of 3D Image Display Based on Digital Optical Phase Conjugation
    Authors: 陳致維;Chen, Chih-Wei
    Contributors: 光電科學與工程學系
    Keywords: 數位光學相位共軛器;小貓自泵相位共軛鏡;立體投影;數位全像;多重鏡面;費奈爾反射結構;Digital optical phase conjugator;Kitty Self-Pumped Phase Conjugate Mirror;3D projection;Digital holography;Confetti-like specular surface;Fresnel Reflective Structure
    Date: 2019-12-18
    Issue Date: 2020-01-07 14:27:57 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本論文中我們將小貓自泵相位共軛術(Kitty Self-Pumped Phase Conjugate Mirror, Kitty-SPPCM)應用於數位光學相位共軛(Digital Optical Phase Conjugator, DOPC)系統。利用 Kitty-SPPCM 系統之穩定、快速以及角度容忍高等優點,發展出一套高效能的 DOPC 系統,並以此 DOPC 系統為基礎,發展一套能重建三維影像資訊之實像投影系統。在此系統中,我們利用費奈爾反射結構,增加系統被接收到的有效通道數,進而提升共軛訊號效率。接著為了提升立體影像的品質,我們計算分析浮空高度對視場角(Field of View, FOV)與可視聚焦點範圍的關係。最後我們以此三維影像投影系統建立由多個共軛聚焦點所組成的長方體影像,並進一步以這些共軛聚焦點排列出不同的英文字母,重建出立體影像。;In this paper, we apply Kitty Self-Pumped Phase Conjugate Mirror (Kitty-SPPCM) to the Digital Optical Phase Conjugator (DOPC) system. Using the benefits of the Kitty-SPPCM, such like stable, fast, and highlevel of angle tolerance, we develop a high-performance DOPC system. Based on this DOPC system, we develop a real image projection system that can reconstruct 3D image information. In this system, we use the Fresnel reflective structure to increase the received number of channels, and thus promote the efficiency of conjugate signal of the system. To improve the performance of the 3D image, we calculate and analyze: (1) the relationship between floating height and field of view (FOV). (2) the relationship between floating height and the range of the visible reconstruct points. Finally, we use this 3D image projection system to build up a 3D cube matrix formed with reconstruct points. Then we display a 3D image of the letters N, C, and U with these reconstruct points.
    Appears in Collections:[Graduate Institute of Optics and Photonics] Electronic Thesis & Dissertation

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