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研究生: 劉人瑞
Jen-Jui Liu
論文名稱: 整合影像半色調亮度補償之電子紙影像處理工具
An Image Processing Tool by Integrating Photometric Calibration with Adaptive Image Halftoning for Electrophoretic Displays
指導教授: 高文忠
Kao, Wen-Chung
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: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 122
中文關鍵詞: 電泳式顯示器光學校正溫度補償半色調
英文關鍵詞: EPD, Photometric Calibration, Temperature Compensation, Halftoning
論文種類: 學術論文
相關次數: 點閱:135下載:12
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  • 電泳式顯示器已經成為消費型電子紙主要的解決方案,但是電泳式顯示器在驅動上也有一些先天的限制。首先電泳式顯示器的光電響應曲線呈現非線性的,其次是電泳式顯示器對於溫度相當敏感,此外可以呈現輸出的影像灰階數相當有限。影像不經過增加可用灰階數或影像預處理直接透過面板顯示,所得到影像品質不盡理想。

    在本論文中,我們提出一個綜合性的影像工具,它可自動估算在不同環境溫度的光學反射函數,執行適應性半色調影像處理,以改善視覺品過面板顯示品質。校正電泳式顯示器非線性響應並且補償。我們所提出的方法已經通過實際電泳式顯示器系統驗證,得到相當不錯的成果。

    The electrophoretic display (EPD) has become the main solution to electronic papers, but there are several limitations when it is being driven. First of all, the optical response curve of the EPD is nonlinear and temperature sensitive. In addition, the number of gray levels that can be displayed is also quite limited. The image quality is unsatisfactory if the images shown on the panel are not preprocessed to increase the number of visual gray levels and compensate the characteristics of the EPD. In this paper, we present an integrated image tool to automatically estimate the reflectance function curves under different ambient temperatures, perform adaptive image halftoning to improve visual quality, and calibrate the image to compensate the nonlinear response of EPD. The proposed approach has been verified on practical EPD panels and promising results have been achieved.

    摘 要 i ABSTRACT ii 致謝 iii 目錄 iv 表目錄 vi 圖目錄 vii 第一章  緒論 1 1.1 研究動機與背景 1 1.2 相關研究概述 6 1.3 本篇提出對電泳顯示器之影像改善方式 8 1.4 本文架構 9 第二章  電子紙相關研究探討 10 2.1 電泳現象與元件模型 10 2.2 電泳式顯示器 12 2.4 電泳式顯示器反應特性之關係與現存之問題 14 2.5 驅動波形與驅動系統相關研究 17 第三章  顯示技術與其他相關研究探討 21 3.1 顯示器電光特性校正 24 3.2 半色調演算法相關研究 27 3.3 色彩空間探討 46 3.4 最小平方法簡介 47 3.5 內插與擬合探討與簡介 49 第四章  演算法與系統架構 52 4.1 系統方塊圖 52 4.2 合成室溫反應曲線與反應速度對照表 56 4.3 最小平方法評估可用階數 59 4.4 使用可變多階錯誤擴散法 61 4.5 預校正演算法 62 第五章  研究成果 65 5.1 實驗結果與說明 65 5.2 影像處理成果比較 80 5.3 各模組執行速度分析 91 5.4 模擬器設計與實現 92 5.5 實驗平台 104 第六章  結論與未來展望 108 6.1 結論 108 6.2 未來展望 108 參考文獻 109 附錄 114

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