臺灣博碩士論文加值系統

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

[1] S.N. Kaptan and M. Gokturk, ”Effects of Physical Display Size on GUI Designers’ Perception and Implementation of Usability Guidelines,” Design, User Experience, and Usability: Theory, Methods, Tools, and Practice, vol. 6769, pp. 128-137.
[2] S. Uchikoga, ”Future Trend of Flat Panel Displays and Comparison of its Driving Methods,” in IEEE Int. Symp. Power Semiconductor Devices and IC’s, Naples, Jun. 2006, pp. 1–5.
[3] J. Chen and C.T. Liu, ”Technology Advances in Flexible Displays and Substrates,” in IEEE Access, vol. 1, no. , pp. 150-158, May 2013.
[4] M.R. Fernandez, E.Z. Casanova, and I.G. Alonso,”Review of Display Technologies Focusing on Power Consumption,” Sustainability, vol. 7, no. , pp. 10854-10875, Aug. 2015.
[5] H.-J. Shin, S.-B. Woo, S.-J Shin, K.-D. Kwack, and T.-W. Kim, ”A Novel High Gray Scale Data Driver for Passive Matrix OLED Displays,” in 6th Int. Conf. Parallel Distributed Comput. Applicat. Technol., Dec. 2005, pp 836-839.
[6] M. Olivieri, R. Mancuso, and Friedbert Riedel, ”A Reconfigurable, Low Power, Temperature Compensated IC for 8-segment Gamma Correction Curve in TFT, OLED and PDP Displays,” IEEE Trans. Consum. Electron., vol. 53, no. 2, pp. 720-724, May 2007.
[7] X. Chen, J. Zeng, Y. Chen, W. Zhang, and H. Li, ”Fine-grained Dynamic Voltage Scaling on OLED Display,” in 17th Asia and South Pacific Design Automation Conference, Sydney, Jan 2012, pp. 807-812.
[8] S.R.P. Silva, J.D. Carey, G.Y. Chen, D.C. Cox, R.D. Forrest, C.H.P. Poa, R.C. Smith, Y.F. Tang, and J.M. Shannon, ”Nanoengineering of Materials for Field Emission Display Technologies,” Proc. IEE Circuits, Devices and Syst., vol. 151, no. 5, pp. 489–496, Oct. 2004.
[9] M. Dong and L. Zhong, ”Power Modeling and Optimization for OLED Displays,” IEEE Trans. Mobile Comput., vol. 11, no. 9, pp. 1587-1599, Sept. 2012.
[10] B. Geffroy, P.L. Roy, and C. Prat, ”Organic Light-Emitting Diode (OLED) Technology: Materials, Devices and Display Technologies,” Polym. Int., vol. 55, no. 6, pp. 572-582, Jun. 2006.
[11] A. Iranli, W. Lee, and M. Pedram, ”HVS-Aware Dynamic Backlight Scaling in TFT-LCDs,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst. vol. 14, no. 10, pp. 1103-1116, Oct. 2006.
[12] M. Dong and L. Zhong, ”Self-Constructive High-Rate System Energy Modeling for Battery-Powered Mobile Systems,” in Proc. Int. Conf. Mobile Syst. Appl. Serv. (MobiSys), New York, Jun. 2011, pp. 335-348.
[13] P.-S. Tsai, C.-K. Liang, T.-H. Huang, and H.-H. Chen, ”Image Enhancement for Backlight-scaled TFT-LCD Displays,” IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 4, pp. 145–156, Jan. 2012.
[14] M. Dong, Y.-S. Choi, and L. Zhong, ”Power-Saving Color Transformation of Mobile Graphical User Interfaces on OLED-based Displays,” Proc. ACM/IEEE Int. Symp. Low Power Electron. Design, New York, 2009, pp. 339-342.
[15] M. Dong and L. Zhong, ”Chameleon: A Color-Adaptive Web Browser for Mobile OLED Displays,” IEEE Trans. Mobile Comput., vol. 11, no. 5, pp. 724–738, May 2012.
[16] C.-K. Kang and C.-H. Lin and P.-C. Hsiu, ”A Win-Win Camera: Quality-Enhanced Power-Saving Images on Mobile OLED Displays,” in 2015 IEEE Int. Symp. Low Power Electron. Design, Rome, 2015, pp. 267–272.
[17] X. Chen, J. Zheng, Y. Chen, M. Zhao, and C.J. Xue, ”Quality-Retaining OLED Dynamic Voltage Scaling for Video Streaming Applications on Mobile Devices,” in Proc. ACM/EDAC/IEEE Design Autom. Conf. (DAC), San Fransisco, Jun. 2012, pp. 1000-1005.
[18] A. Carroll and G. Heiser, ”An Analysis of Power Consumption in a Smartphone,” in Proc. USENIX Conf. USENIX Annu. Tech. Conf., Berkeley, Jun. 2010, pp. 21.
[19] P. Xiong, Y. Fan, and M.C. Zhou, ”A Petri Net Approach to Analysis and Composition of Web Services,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 40, no. 2, pp. 376-387, Mar. 2010.
[20] S.-H. Lim, S.-W. Kim, S. Park, and J.H. Lee, ”Determining Content Power Users in a Blog Network: An Approach and Its Applications,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 41, no. 5, pp. 853-862, Sep. 2011.
[21] T.-S. Chen, Y.-S. Chou, and T.-C. Chen, ”Mining User Movement Behaviour Patterns in a Mobile Service Environment,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 42, no. 1, pp. 87-101, Jan. 2012.
[22] G.C. Sirakoulis and I.G. Karafyllidis, ”Coorperation in a Power-Aware Embedded-System Changing Environment: Public Goods Games with Variable Multiplication Factors,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 42, no. 3, pp. 596-603, May 2012.
[23] C.-S. Chae, H.-P. Le, K.-C. Lee, and G.-H. Cho, ”A Single-Inductor Step-Up DC-DC Switching Converter with Bipolar Outputs for Active Matrix OLED Mobile Display Panels,” IEEE J. Solid-State Circuits, vol. 44, no. 2, pp. 509–524, Feb. 2009.
[24] D. Shin, Y. Kim, N. Chang, and M. Podram, ”Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays,” IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst., vol. 32, no. 7, pp. 1017-1030, Jul. 2013.
[25] J. Flinn and M. Satyanarayanan, ”Energy-Aware Adaptation for Mobile Application,” in Proc. ACM Symp. Operating Systems Principles (SOSP), New York, NY, USA, 1999, pp. 48–63.
[26] S. Iyer, L. Luo, R. Mayo, and P. Ranganathan, ”Energy-Adaptive Display System Designs for Future Mobile Environments,” in Proc. Int. Conf. Mobile Syst. Appl. Serv. (MobiSys), New York, NY, USA, May 2003, pp. 245–258.
[27] U. Kandaswamy, D. A. Adjeroh, S. Schuckers, and A. Hanbury, ”Robust Color Texture Features under Varying Illumination Conditions,” IEEE Trans. Syst. Man, Cybern. B, Cybern., vol. 42, no. 1, pp. 58-68. Feb. 2012.
[28] P. W. Wang, Z. J. Ding, C. Jiang, and M. C. Zhou, ”Constraint-Aware Approach to Web Service Composition,” IEEE Trans. Syst, Man, Cybern., Syst., vol. 44, no. 6, pp. 770–784, Jun. 2014.
[29] C. Lee and C. Lee and Y.-Y. Lee and C.-S. Kim, ”Power-Constrained Contrast Enhancement for Emissive Displays Based on Histogram Equalization,” IEEE Trans. Image Process., vol. 21, no. 1, pp. 80–93, Jan. 2012.
[30] Y.-O. Nam and D.-Y. Choi and B. C. Song, ”Power-Constrained Contrast Enhancement Algorithm Using Multiscale Retinex for OLED Display,” IEEE Trans. Image Process., vol. 23, no. 8, pp. 3308-3320, Aug. 2014.
[31] L.-M. Jan, F.-C. Cheng, C.-H. Chang, S.-J. Ruan, and C.-A. Shen, ”A Power-Saving Histogram Adjustment Algorithm for OLED-Oriented Contrast Enhancement,” IEEE/OSA J. Display Technol., vol. 12, no. 4, pp. 368-375, Oct. 2015.
[32] C.-H. Lin, C.-K. Kang, and P.-H. Hsiu, ”Catch Your Attention: Quality-retaining Power Saving on Mobile OLED Displays,” in 2014 51st ACM/EDAC/IEEE Design Automat. Conf., San Fransisco, 2014, pp. 1–6.
[33] T.-C. Chang, S.S.-D. Xu, and S.-F. Su, ”SSIM-based Quality-on-Demand Energy- Saving Schemes for OLED displays,” IEEE Trans. Syst. Man, Cybern. A., Syst. Humans, Aug. 2015. [Online]. Avalaible:http://doi:10.1109/TSMC.2015.2455020.
[34] D. Guo, Y. Cheng, S. Zhuo, and T. Sim, ”Correcting Over-Exposure in Photographs,” in 2010 IEEE Conf. Comput. Vis. and Pattern Recog., San Fransisco, 2010, pp. 515–521.
[35] D.-H. Lee, Y.-J. Yoon, S.-J. Kang, and S.-J. Ko, "Correction of the Overexposed Region in Digital Color Image," IEEE Trans. Consum. Electron., vol. 60, no. 2, pp. 173–178, May 2014.
[36] R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed. Reading, MA. Addison-Wesley, 1992, pp. 85-103.
[37] Y.-T. Kim, “Contrast Enhancement using Brightness Preserving Bi-histogram Equalization,” IEEE Trans. Consum. Electron., vol.43, no.1, pp.1-8, Feb. 1997.
[38] M. Abdullah-Al-Wadud, Md.-H. Kabir, M.-A.-A. Dewan, and O. Chae, “A Dy-
namic Histogram Equalization for Image Contrast Enhancement,” IEEE Trans. Consum. Electron., vol. 53, no. 2, pp. 593-600, May 2007.
[39] T.-C. Chang and S.S.-D. Xu,”Object-Image Based Quality-on-Demand Energy Saving Schemes for OLED displays,”Electron. Lett., vol. 50, no. 22, pp. 1595-1597, Oct. 2014.
[40] B. B. Lee, J. Pokorny, P. R. Martin, A. Valbergt, and V. C. Smith, ”Luminance and Chromatic Modulation Sensitivity of Macaque Ganglion Cells and Human Observers,” J. Optical Soc. Amer. A, vol. 7, no. 12, pp. 2223-2236, Dec. 1990.
[41] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, ”Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Trans. Image Process., vol. 13, no. 4, pp. 600–612, Apr. 2004.
[42] L. Zhang, Y. Shen, and H. Li, ”VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment,” IEEE Trans. Image Process., vol. 23, no. 10, pp. 4270-4281, Oct. 2014.
[43] H. R. Sheikh, M. F. Sabir, A. C. Bovik, ”A Statistical Evaluation of Recent Full Reference Quality Assessment Algorithms,” IEEE Trans. Image Process., vol. 15, no. 11, pp. 3440-3451, Nov. 2006.
[44] E. C. Larson and M. Chandler, ”Most Apparent Distortion: Full-reference Image Quality Assessment and the Role of Strategy,” J. Electron. Imaging, vol. 19, no. 1, pp. 011006, Nov. 2006.
[45] N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, and F. Battisti, ”TID2008 - A Database for Evaluation of Full-Reference Visual Quality Assessment Metrics,” Advances of Modern Radioelectronics, vol. 10, pp. 30-45, Nov. 2009.
[46] L. Zhang, Y. Shen, and H. Li, ”VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment,” IEEE Trans. Image Process., vol. 23, no. 10, pp. 4270-4281, Oct. 2014.
[47] L. Zhang and H. Li, ’SR-SIM: A Fast and High Performance IQA Index Based on Spectral Residual,” in 2012 19th IEEE Int. Conf. Image Process., Orlando, 2012, pp. 1473-1476.
[48] M. R. Luo, G. Cui, and B. Rigg, ”The Development of the CIE 2000 Colour-Difference Formula: CIEDE2000,” Color Research Applicat., vol. 26, no. 5, pp. 340–350, Aug. 2001.
[49] G. Sharma, W. Wu, and E. N. Dalal, ”The CIEDE2000 Color-Difference Formula: Implementation Notes, Supplementary Test Data, and Mathematical Observations,” Color Research Applicat., vol. 30, no. 1, pp. 21–30, Feb. 2005.
[50] Y. Yamada, ”Gender and Age Differences in Visual Perception of Pattern Randomness,” Science Postprint, Jan. 2015. [Online]. Available: 10.14340/ spp.2015.01A0002.