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研究生: 詹禮銘
Li-Ming Jan
論文名稱: 基於有機發光二極體顯示器對比增強之功率節省直方圖調整演算法
A Power-Saving Histogram Adjustment Algorithm for OLED Display-Based Contrast Enhancement
指導教授: 阮聖彰
Shanq-Jang Ruan
口試委員: 林昌鴻
Chang Hong Lin
姚智原
Chih-Yuan Yao
蔡坤霖
Kun-Lin Tsai
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: 2014
畢業學年度: 102
語文別: 英文
論文頁數: 76
中文關鍵詞: 自發光顯示器影像增強功率節省值方圖等化
外文關鍵詞: Power Sa
相關次數: 點閱:209下載:1
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  • 現今多媒體影音裝置與人類生活息息相關,而其中顯示器的解析度與影像品質有大幅度的改善。雖然影像品質改善良多使得人眼所感受到的視覺品質提升,但其中所消耗的功率也大幅提升,因此顯示器的功率消耗變成一個不可忽視的問題。為了取得顯示器之間功率與影像品質的最佳平衡,我們提出一種在有機發光二極體顯示器上利用直方圖調整的演算法來達到功率節省與影像對比強化的效果。這個演算法使用一種前處理來修改直方圖藉此達到降低功率消耗的目的,並且利用功率節省直方圖等化的效果來補償影像對比。由實驗數據可知,我們所提出的演算法相對於其他演算法不僅能夠降低功率消耗並且能產生出高品質的影像對比。


    For the modern multimedia devices,
    display resolution and image quality are actively improved in nowadays.
    Although the aforesaid improvement can produce the high visual perception for the observer,
    the power consumption becomes an inevasible problem as it is rising progressively.
    In order to get a good balance between visual perception and power consumption,
    we propose a histogram-based power saving algorithm to improve the image contrast for the OLED display panel.
    The proposed algorithm modifies the image histogram as a pre-process of power reduction.
    Furthermore, the visual effect is compensated using the power saving histogram equalization algorithm.
    Experimental results show that the proposed algorithm not only decreases the display power lower than that by the compared algorithm,
    but also generates the highly perceptual contrast of the images.

    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 1 Introduction 1 1.1 Introduction to display image processing vii1.2 Modern flat panel display analyse 1.3 Display image quality enhancement 1.4 Organization of this thesis 2 Related Works 2.1 Display power model 2.2 Power constraint and contrast enhancement algorithm 2.3 Histogram shrinking Method 2.4 Discussion 3 Proposed method 3.1 Proposed algorithm scheme 3.2 PSHA algorithm 3.3 Proposed algorithm computation complexity 3.4 Adaptive PCCE algorithm 4 Experimental Results 4.1 Simulation of image quality and power consumption 4.1.1 Qualitative Assessments 4.1.2 Quantitative Evaluation viii4.2 Physical measurement of power consumption 5 Conclusions References Appendix Copyright Form

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