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研究生: 陳昕陽
Chen, Hsin-Yang
論文名稱: 彩色電子紙之色彩量測與影像處理晶片設計
Color Measurement and Image Processing Chip Design of Color Electronic Paper
指導教授: 高文忠
Kao, Weng-Chung
口試委員: 高文忠
Kao, Weng-Chung
林政宏
Lin, Cheng-Hung
郭景明
Guo, Jing-Ming
口試日期: 2021/06/28
學位類別: 碩士
Master
系所名稱: 電機工程學系
Department of Electrical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 65
中文關鍵詞: 彩色電子紙色彩校正色調重現
英文關鍵詞: color electronic paper, color correction, tone reproduction
研究方法: 實驗設計法準實驗設計法
DOI URL: http://doi.org/10.6345/NTNU202101190
論文種類: 學術論文
相關次數: 點閱:210下載:69
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  • 本論文提出一個新穎的彩色電子紙之色彩量測與彩色影像處理流程。為了準確量測電子紙上的色彩,我們提出兩階段色彩校正方法,改善色彩量測的精準度,改進後的色彩量測系統已成功地應用在彩色電子紙的量產上。所提出的色彩校正方法也同樣適用於監視系統或機器人視覺。彩色電子紙的影像處理流程由幾個階段所組成,透過完整的影像處理流程來校正彩色電子紙上所顯示的色彩,並增強色彩飽和度以及提高影像的可見度。除了色彩重現之外,處理後的影像細節也得到了改善。整個影像處理流程已在晶片平台上實現,且可高效的執行。

    This thesis presents a new approach to the color measurement and a novel design of image processing pipeline for color electronic papers. In order to accurately measure the color on the electronic paper, a two-stage color correction method based on an efficient optimization process has been proposed for the color reproduction of the camera. The improved color measurement system has been successfully applied to the mass production line of color electronic paper. The proposed color correction method is also suitable for being applied to surveillance systems or robot vision systems. The image processing pipeline for color electronic papers is composed of several stages to correct the colors displayed on the color electronic paper, enhance the color saturation, and improve the visibility of the images via a comprehensive tone reproduction. In addition to the color reproduction, the image details of the processed images are also improved. The entire image pipeline has been implemented on the FPGA platform and the excellent performance can be achieved.

    誌謝 i 摘 要 ii ABSTRACT iii 圖目錄 vi 表目錄 ix 1. 第一章 緒論 1 1.1研究背景 1 1.2研究問題 2 1.2.1彩色電子紙之色彩量測 2 1.2.2彩色電子紙之彩色影像處理 3 1.3論文架構 6 2. 第二章 文獻探討 7 2.1相機影像色彩處理流程 7 2.2彩色電子紙影像色彩處理流程 10 3. 第三章 研究方法 12 3.1彩色電子紙色彩量測的系統架構 12 3.1.1色卡資訊 13 3.1.2暗電消去與雙邊濾波 14 3.1.3鏡頭漸暈補償 15 3.1.4自動白平衡 16 3.1.5色彩校正矩陣 17 3.2彩色電子紙影像處理流程 22 3.2.1彩色電子紙的色彩校正 23 3.2.2色調重現與色彩增強 23 3.2.3半色調影像處理 25 3.3彩色電子紙晶片設計系統架構 26 3.3.1色彩校正矩陣 27 3.3.2色彩空間轉換 27 3.3.3色調映射 28 3.3.4半色調影像處理晶片設計 28 4. 第四章 實驗結果 33 4.1實驗環境與設備 33 4.2色彩量測結果呈現 35 4.2.1鏡頭漸暈補償結果比較 36 4.2.2自動白平衡結果 37 4.2.3色彩誤差比較 38 4.3彩色電子紙影像處理結果 40 4.3.1 彩色電子紙色彩校正 40 4.3.2 彩色電子紙色調重現 44 4.3.3 彩色電子紙色彩增強 45 4.3.4 彩色電子紙之結果 45 4.3.5 彩色電子紙影像處理晶片執行效能 47 5. 第五章 結論及未來展望 48 5.1 結論 48 參考文獻 49 附錄 53 自 傳 64 學術成就 65

    [1] E Ink Inc, http://www.eink.com

    [2] H. C. Lee, “Introduction to Color Imaging Science,” Cambridge University Press, 2005.

    [3] M. C. Hu, M. H. Cheng and K. C. Lan, “Color correction parameter estimation on the smartphone and its application to automatic tongue diagnosis,” Journal of medical systems, vol. 40, no. 1, pp. 18, 2016.

    [4] R. Ramanath, W. E. Snyder, Y. Yoo, and M. S. Drew, “Color image processing pipeline,” IEEE Signal Processing Magazine, vol. 22, no. 1, pp. 34–43, Jan. 2005.

    [5] P. M. Hubel, J. Holm, G. D. Finlayson and M. S. Drew, “Matrix calculations for digital photography,” in Proc. Fifth Color Imaging Conf., Nov. 1997, pp. 105-111.

    [6] G. Hong, M. R. Luo, and P. A. Rhodes, “A study of digital camera colorimetric characterisation based on polynomial modelling,” Color Research and Application, vol. 26, no. 1, pp. 76-84, 2001.

    [7] G. D. Finlayson, M. Mackiewicz, and A. Hurlbert, “Color correction using root-polynomial regression,” IEEE Trans. Image Process., vol. 24, no. 5, pp. 1460-1470, May. 2015.

    [8] H. Yu, T. Cao, B. Li, R. Dong, and H. Zhou, “A Method for Color Calibration Based on Simulated Annealing Optimization,” in proc. ICISCE, 2016 , pp.54-58.

    [9] G. Duthaler, J. Au, M. Davis, H. Gates, B. Hone, Knaian, A., E. Pratt, K. Suzuki, S. Yoshida, M. Ueda and T. Nakamura, “53.1: Active-matrix color displays using electrophoretic ink and color filters,” in SID Symposium Digest of Technical Papers, vol. 33, no. 1, pp.1374-1377, 2002.

    [10] A. Bouchard, H. Doshi, B. Kalhori and A. Oleson, “Advances in active-matrix color displays using electrophoretic ink and color filters,” Analysis, pp.1934–1937, 2006.

    [11] C. M. Lu and C. L. Wey, “A controller design for color active-matrix displays using electrophoretic inks and color filters,” IEEE/OSA Journal of Display Technology, vol. 7, no. 9, pp. 482–489, Sep. 2011.

    [12] Z. Qin, Y. W. Chen, F. C. Lin, C. M. Hung, H. P. D. Shieh, and Y. P. Huang, “Ambient-light-adaptive image quality enhancement for full-color e-paper displays using a saturation-based tone-mapping method,” Journal of SID, vol. 26, no. 3, pp. 153–163. 2018.

    [13]W. C. Kao and J. C. Tsai, “Driving method of three-particle electrophoretic displays,” IEEE Tran. Electron Devices, vol. 65, no.1, Mar. 2018.

    [14] J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proc. IEEE International Conf. Neural Networks, 1995, pp. 1942-1948,

    [15] M. Anderson, R. Motta, S. Chandrasekar and M. Stokes, “Proposal for a standard default color space for the internet-sRGB,” Color Imaging Conference, 1996.

    [16] J. A. Hartigan and M. A. Wong, "Algorithm AS 136: A k-means clustering algorithm", Journal of the Royal Statistical Society, vol. 28, no. 1, pp. 100-108, 1979.

    [17] W. C. Kao, X. T. Huang, H. C. Wang, C. C. Pan and F. C. Yang, “Real-time tone reproduction for video recording,” in proc. IEEE International Conf. Consumer Electronics, US, June, 2012.

    [18]E. Reinhard, “Parameter estimation for photographic tone reproduction,” Journal of Graphics Tools, vol. 7, no. 1, pp. 45-52, Nov. 2002.

    [19] R. W. Floyd and L. Steinberg, “An Adaptive Algorithm for Spatial Grayscale,” in proc. of SID, Vol. 17, No. 2, pp. 75-77, 1976.

    [20] C. Y. Su and Y. L. Sie, “An FPGA implementation of chaotic and edge enhanced error diffusion,” IEEE Trans. Consumer Electronics, Vol. 17, No. 2, pp. 1755–1762, 2010.

    [21] E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, “Photographic tone reproduction for digital images,” ACM Trans. Graphics, vol. 21, no. 3, pp. 267-276, July. 2002.

    [22] Kodak Image Datase: http://www.cs.albany.edu/~xypan/research/snr/Kodak.html

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