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研究生: 蔣泗得
Peter - Chondro
論文名稱: 應用於AMOLED顯示器之針對過度曝光及高頻抑制之感知色調節能機制
Perceptually Hue-Oriented Power-Saving Scheme with Overexposure and High-Frequency Spectra Suppressor for AMOLED Displays
指導教授: 阮聖彰
Shanq-Jang Ruan
口試委員: 沈中安
Chung-An Shen
姚智原
Chih-Yuan Yao
鍾國亮
Kuo-Liang Chung
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 77
中文關鍵詞: 節能機制結構相似性AMOLED顯示器過度曝光更正色彩还
外文關鍵詞: power-saving scheme, structural similarity, perceptual-constrained, overexposure correction
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  • 主動陣列有機發光二極體顯示器是一種新的顯示技術,且逐漸被廣泛的應用在消費性電子產品。主動陣列有機發光二極體顯示器有需多特點,尤其是能以較低的功率來顯現鮮豔的色彩。我們提出一種基於像素的調光轉變機制來降低主動陣列有機發光二極體顯示器的功率消耗。此方法將抑制過度曝光區域的亮度並重建區域的色彩。接著利用結構相似度來推導出像素轉換所需的系數。此外在高頻可見光譜上具有特別的應用。利用三個影像數據庫的圖像並在具有主動陣列有機發光二極體顯示器的智慧手機上來實際評測,由實驗數據可知,我們所提的演算法最多能降低75%的螢幕功率消耗
    測,同時在視覺顯著性上平均能保持0.955。


    Active matrix organic light emitting diode (AMOLED) display is an emerging technology that has been widely used in consumer electronic devices. It incorporates a varying power-demand character, which particularly inefficient for displaying bright colors. This study presents a power-saving scheme for AMOLED displays based on the pixel dimming transformation. Initially, the proposed method suppresses the luminance and reconstructs the colors of any overexposed region. Then, each pixel is transformed using coefficients derived from the SSIM metric, of which set point is determined from the prior image. Weighted coefficients are employed specifically for high-frequency visible color spectra. According to the experiments of three datasets on an AMOLED display, up to 75% of the displaying power can be reduced with mean visual saliency index of 0.955.

    Recommendation Form i Committee Form ii Chinese Abstract iii English Abstract iv Acknowledgements v Table of Contents vii List of Tables x List of Figures xi Table of Algorithms xiv 1. Introduction 1 1.1 The Essentials of Display Technology 1 1.2 Power-Saving Schemes for AMOLED Displays 3 1.3 Organization of this Thesis 5 2. Related Works 6 2.1 AMOLED Power-Demand Characteristics 8 2.2 Conventional Histogram Equalization Technique 10 2.3 Overexposure Correction Schemes 12 2.4 Histogram-Based Power-Saving Scheme 13 2.5 Quality-Constrained Energy-Saving Scheme 15 2.6 Motivations 17 3. Proposed Method 19 3.1 Nonlinear Histogram Stretching 20 3.2 Efficient Overexposure Corrector 23 3.3 Perceptually Hue-Oriented Pixel Transformation 28 4. Experimental Result 32 4.1 Experimental Tools for Image Assessment 33 4.2 Power Measurement Setup and Power Modeling 35 4.3 Evaluation of the Overexposure Corrector 37 4.4 Evaluation of the Proposed Pixel Transformation 40 4.5 Objective Evaluation of the Overall Proposed Method 43 4.6 Subjective Evaluation of the Overall Proposed Method 45 4.7 Computational Evaluation 50 4.7.1 Computational Complexity 50 4.7.2 Computational Optimization 50 5. Conclusions 52 References 53

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