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研究生: 張家華
Chia-Hua Chang
論文名稱: 一種應用於有機發光二極體顯示器自適應顏色轉換之功率節省的視頻處理機制
A Power-Saving Scheme Using Adaptive Color Transformation for Video on OLED Displays
指導教授: 阮聖彰
Shanq-Jang Ruan
沈中安
Chung-An Shen
口試委員: 吳晉賢
Chin-Hsien Wu
林昌鴻
Chan-Hong Lin
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: 72
中文關鍵詞: 有機發光二極體顯示器功率節省色相保護轉換視頻處理
外文關鍵詞: OLED display, power saving, hue preserving transformation, video processing
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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。有機發光二極體顯示器有需多特性,尤其是能以較低的功率來顯現色彩。然而在高頻可見光譜,如白色,仍然需要消耗大幅的功率。我們提出一套可保有色相資訊且有效降低功率的視頻調整機制。此方法利用色相、飽和度、亮度值推導出的表示式並結合視頻內容資訊來進行調整。因此,所提的方法可直接針對視頻內容的紅綠藍資訊進行調整。另外此方法利用各畫面之間的信息資訊來減少視頻的計算處理。由實驗數據可知,我們所提的方法最多可降低 73% 的螢幕功率消耗,同時在視覺顯著性上平均能保持0.961。


Displays based on organic light emitting diodes (OLEDs) is an emerging technology that has been widely used in mobile devices. It incorporates a varying power-demand character, which particularly inefficient for displaying bright colors. This thesis proposes a scheme that preserve hue information and reduce power consumption for video sequences on OLED displays based on the pixel dimming transformation. The dimming scheme uses the coefficient derived from the hue-saturation-value (HSV) representation and the luminance of the frame to modify each pixel. Thus, the proposed scheme allows the data adjustment directly on the red, green, and blue intensity of the contents. The temporal information between each frame is adopted to reduce the computation for video sequence processing. According to the measurement of several video sequences on an OLED display, up to 73% of displaying power can be reduced with mean visual saliency index of 0.961.

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 The Essentials of Video Processing 1.2 Modern Panel Display Analyse 1.3 Power-Saving Scheme for Images 1.4 Power-Saving Scheme for video sequence 1.5 Organization of This Thesis 2 Related Works 2.1 OLED Power Modeling 2.2 Hue Preserving Transformation 2.3 Quality-Constrained Energy-Saving Scheme 2.4 Motivations 3 Proposed method 3.1 Hue Preserving Pixel Transformation 3.2 Power-Law Mapping coefficient 3.3 Blending 3.4 Video Processing 4 Experimental Result 4.1 Experimental Tools for Image Assessment 4.2 Visual Assessment 4.3 Quantitative Evaluation 4.4 Physical Measurement of Power Consumption 4.5 Evaluation for Video Sequences 4.6 Computational Complexity 5 Conclusions References Copyright Form

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