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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/97774


    Title: 影像式色度計與輝度計;Imaging-Based Colorimeter and Luminance Meter
    Authors: 黃昱維;Haung, Yu-Wei
    Contributors: 光電科學與工程學系
    Keywords: 影像式輝度計;三色刺激值;光譜響應補償;色度座標;相關色溫;Imaging Luminance Meter;Tristimulus Values;Spectral Response Compensation;Chromaticity Coordinates;Correlated Color Temperature
    Date: 2025-08-12
    Issue Date: 2025-10-17 11:53:28 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本研究針對影像式輝度與色度量測系統中常用之 CIE 三色刺激值濾光片,系統性分析其光譜響應特性與入射角敏感性,並探討該效應對輝度、色度座標及相關色溫(CCT)推估精度之影響。首先,透過模擬與實驗比較,分析三色濾光片在零度入射條件下與 CIE 1931 標準色彩匹配函數之光譜一致性,並進一步測量不同入射角下的頻譜響應變化,建立角度—頻譜修正模型。其次,於同軸架構下,利用 Y 濾光片響應進行輝度推估驗證,並採用 X、Y、Z 濾光片量測結果與輝度計數據,經線性最小平方法建立灰階值與三色刺激值之轉換矩陣,進而推導輝度與色度座標。實驗結果顯示,所建立之轉換矩陣可在固定光源與系統參數下有效將灰階值轉換為輝度與色度座標,與實測值相比誤差極小,證實其可行性。研究成果除可降低對高成本商用輝度計的依賴,亦具備高解析度、非接觸與多點即時量測的優勢,未來可應用於顯示器校正、AR 光學模組檢測、智慧照明監控及光場重建等領域,並可透過整合離軸響應補償與多視角量測,進一步提升系統適用性與精度。

    ;This study investigates the spectral response characteristics and incident-angle sensitivity of CIE tristimulus filters commonly used in imaging-based luminance and chromaticity measurement systems, and evaluates their impact on the accuracy of luminance, chromaticity coordinates, and correlated color temperature (CCT) estimation. First, simulated and experimental analyses were conducted to compare the spectral consistency of the filters with the CIE 1931 standard color matching functions under normal incidence. The spectral variations at different incident angles were then measured to establish an angle–spectrum correction model. Under a coaxial configuration, luminance estimation was performed using the Y filter response, while tristimulus values obtained from the X, Y, and Z filters were paired with luminance meter readings to construct a transformation matrix between grayscale values and tristimulus values via the least squares method. This matrix was subsequently used to derive luminance and chromaticity coordinates. Experimental results indicate that the transformation matrix can accurately convert grayscale values into luminance and chromaticity coordinates under fixed light source and system parameters, with minimal error compared to direct measurements, thus validating its feasibility. The proposed approach reduces reliance on costly commercial luminance meters and offers high spatial resolution, non-contact, and multi-point real-time measurement capabilities. It has potential applications in display calibration, AR optical module testing, smart lighting monitoring, and light-field reconstruction. Furthermore, integrating off-axis response compensation and multi-view measurement is expected to enhance the system’s adaptability and precision.
    Appears in Collections:[Graduate Institute of Optics and Photonics] Electronic Thesis & Dissertation

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