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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47147
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dc.contributor.advisor洪一平(Yi-Ping Hung)
dc.contributor.authorI-Ling Huen
dc.contributor.author胡伊伶zh_TW
dc.date.accessioned2021-06-15T05:48:56Z-
dc.date.available2013-08-20
dc.date.copyright2010-08-20
dc.date.issued2010
dc.date.submitted2010-08-18
dc.identifier.citation[1] Brown, M., Majumder, A. and Yang, R. (2005). “Camera-based calibration techniques for seamless multiprojector displays,” IEEE Transactions on Visualization and Computer Graphics, 11(2), 193-206.
[2] Chorley, R. and Laylock, J. (1981). “Human factor consideration for the interface between electro-optical display and the human visual system,” Displays, 4, 304-314.
[3] Daly, S. (1993). “The visible differences predictor: An algorithm for the assessment of image fidelity,” Digital Images and Human Vision, 11.
[4] Debevec, P. E. and Malik, J. (2008). “Recovering high dynamic range radiance maps from photographs,” ACM SIGGRAPH 2008 Classes, 31.
[5] Hemphill, M. (1996). “A note on adults' color-emotion associations,” Journal of Genetic Psychology, 157(3), 275-280.
[6] Hie, A. and Welch, G. (2005). “Ensuring color consistency across multiple cameras,” Tenth IEEE International Conference on Computer Vision, 2005. ICCV 2005, 1268-1275.
[7] Joshi, N. (2004) “Color Calibration for Arrays of Inexpensive Image Sensors, “ Master’s with Distinction in Research Report, Stanford University Department of Computer Science.
[8] Kang, H. R. (1997). Color technology for electronic imaging devices.
[9] Lloyd, C. J. (2002). Quantifying edge blend quality: Correlation with observed judgements. Display Systems Session, IMAGE,
[10] Mahnke, F. H. (1996). Color, environment, and human response Van Nostrand Reinhold New York.
[11] Majumder, A., He, Z., Towles, H. and Welch, G. (2000). Achieving color uniformity across multi-projector displays. Proceedings of the Conference on Visualization'00, 124.
[12] Majumder, A., Jones, D., McCrory, M., Papka, M. E. and Stevens, R. (2003). Using a camera to capture and correct spatial photometric variation in multi-projector displays. IEEE International Workshop on Projector-Camera Systems,
[13] Majumder, A. and Stevens, R. (2002). LAM: Luminance attenuation map for photometric uniformity in projection based displays. Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 154.
[14] Majumder, A. and Stevens, R. (2004). Color nonuniformity in projection-based displays: Analysis and solutions. IEEE Transactions on Visualization and Computer Graphics, , 177-188.
[15] Majumder, A. and Stevens, R. (2005). Perceptual photometric seamlessness in projection-based tiled displays. ACM Transactions on Graphics (TOG), 24(1), 139.
[16] Muthu, S., Schuurmans, F. J. and Pashley, M. D. (2002). Red, green, and blue LED-based white light generation: Issues and control. CONFERENCE RECORD OF THE IEEE INDUSTRY APPLICATIONS CONFERENCE, , 1 327-333.
[17] Sajadi, B., Lazarov, M., Majumder, A. and Gopi, M. (2009). Color seamlessness in multi-projector displays using constrained gamut morphing. IEEE Transactions on Visualization and Computer Graphics, 15(6), 1317-1326.
[18] Stone, M. C. (2001). Color and brightness appearance issues in tiled displays. IEEE Computer Graphics and Applications, , 58-66.
[19] Stone, M. C. (2001). Color balancing experimental projection displays. 9th IS&t/SID Color Imaging Conference, 342–347.
[20] Tsai, Y. P., Wu, Y. N., Liao, S. C., Shih, Z. C. and Hung, Y. P. (2006). Automatic geometric and photometric calibration for tiling multiple projectors with a pan-tilt-zoom camera. 2006 IEEE International Conference on Multimedia and Expo, 401-404.
[21] Vrhel, M. J., Trussell, H. J., Ltd, C. S. S. and Springboro, O. (1999). Color device calibration: A mathematical formulation. IEEE Transactions on Image Processing, 8(12), 1796-1806.
[22] Wallace, G., Chen, H. and Li, K. (2003). Color gamut matching for tiled display walls. Proceedings of the Workshop on Virtual Environments 2003, 302.
[23] Yang, R., Majumder, A. and Brown, M. S. (2004). Camera based calibration techniques for seamless flexible multi-projector displays. Applications of Computer Vision Workshop, Proceedings of European Conference in Computer Vision (ECCV).
[24] W. B. Cowan, (1983) “An inexpensive scheme for calibration of a color monitor in terms of standard CIE coordinates,” Comput. Graph., vol. 17, pp. 315–321.
[25] R. S. Berns, R. J. Motta and M. E. Grozynski, (1988) “CRT Colorimetry. Part I: Theory and practice,” Color Res. Appl., vol. 18, pp. 5–39.
[26] R. S. Berns, M. E. Gorzynski, and R. J. Motta, (1993) “CRT Colorimetry. Part II: Metrology,” Color Res. Appl., vol. 18, pp. 315–325.
[27] V. Mani, (1991) “Calibration of color monitors,” M.S. thesis, North Carolina State Univ., Raleigh.
[28] M. Nielsen and M. Stokes. (1998) “The Creation of the sRGB ICC Profile,” In Proceedings of IS&T Sixth Color Imaging Conference: Color Science Systems and Applications.
[29] Kaya, N. and Epps, H. H. (2004) “Relationship between color and emotion: A study of college students,” College Student Journal, 38(3), 396-406.
[30] Gonzalez, R. C. and Woods, R. E. (2002) “Digital image processing,” 2nd Edition, Prentice-Hall, Inc., Upper Saddle River, New Jersey.
[31] Ford, A. and Roberts, A. (1998) “Colour space conversions,” Technical Report, University of Westminster.
[32] Ju-Chun Ko, Wei-Han Chen, Meng-Chieh Yu, Han-Hung Lin, Jin-Yao Lin, Szu-Wei Wu, Yi-Yu Chung and I-Ling Hu. (2010) “i-m-Space: Interactive Multimedia-Enhanced Space for Rehabilitation of Breast Cancer Patients,” ACM Multimedia short paper.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47147-
dc.description.abstract近年來,全彩發光二極體(Multi-color LED)越來越廣泛的被使用在室內景觀設計之領域。然而,LED與顯示螢幕的色彩空間不同,使得室內設計師在經由螢幕軟體所調配出的燈光色彩與真實的LED色彩會有所不同。本系統的目的就是找到LED與顯示螢幕的相對色彩對應關係,讓設計師能經由螢幕的色碼就能調出真正的燈光色彩。相較於以往色彩校正使用較昂貴的色度計來進行校正,我們提出的演算法能經由隨手可得的數位相機達到螢幕與LED色彩一致的效果。本研究提出之色彩校正演算法分為兩個部分,第一部分為對相機及螢幕進行gamma校正讓螢幕與LED的輸入與輸出為線性變化,第二部分是計算出LED與顯示螢幕的色彩對應關係。最後我們就可以用這個對應關係,用螢幕來選擇我們想要的燈光色彩了。據我們所知,本篇論文所提出的方法是第一個使用低成本數位相機自動校正LED與螢幕之間的色彩的系統,並在情緒燈光之應用上有相當大的潛力。zh_TW
dc.description.abstractMonitor-based LED light casting has a large color variation. As designers design a lighting space, they cannot employ monitor color palette to choose the LED color due to color definition varies between monitors and multi-color LEDs. To address this problem, we use a low cost camera as measurement device to achieve color consistency of monitor based light casting.
Our method contains three calibration steps: Firstly, we perform a gamma correction in the monitor and the LEDs. Secondary, the color matching between the monitor and the LEDs is found automatically. Finally, the linear transformation function of the LEDs and the monitor color space is constructed by using a linear operation. Experimental results show the proposed calibration algorithm successfully make the color variation becomes slighter. Moreover, we evaluate the calibration result with a chroma meter, which shows the color differences of three primary colors between the monitor and the LED become much lesser. To the best of our knowledge, this is the first effort to achieve color consistency between the monitor and the LEDs by using a commodity off-the-shelf product like an inexpensive digital camera. Our method has a great potential for many applications that requires the multi-color LED light such as emotional light system.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T05:48:56Z (GMT). No. of bitstreams: 1
ntu-99-R97922127-1.pdf: 3827764 bytes, checksum: 764530da82b0d9342c28e69c19b28095 (MD5)
Previous issue date: 2010
en
dc.description.tableofcontents口試委員會審定書 #
誌謝 i
中文摘要 ii
ABSTRACT iii
CONTENTS iv
LIST OF FIGURES vi
LIST OF TABLES ix
Chapter 1 Introduction 1
1.1 Motivation 2
1.2 Problem Definition 3
Chapter 2 Fundamental and Literature Review 8
2.1 Fundamental 8
2.2 Literature Review of Photometric Calibration 11
2.2.1 Monitor Photometric Calibration 11
2.2.2 Tiled Display Photometric Calibration 13
Chapter 3 Photometric Calibration Algorithm 16
3.1 Algorithm Overview 16
3.1.1 Gamma Correction 17
3.1.2 Linear Transformation 18
3.1.3 Algorithm Flow 18
3.2 Gamma Correction 19
3.2.1 Displaying and Capturing Image 21
3.2.2 Calculate the Luminance of each input value 22
3.2.3 Finding the Gamma Value 23
3.3 Color Matching 24
3.3.1 Gradient Search 25
3.3.2 Local Exhaustive search 29
3.4 Color Space Transform 30
3.5 Color Correction 32
Chapter 4 Experimental Results 34
4.1 Gamma Curve 35
4.2 Calibration Results 38
4.3 Evaluation 44
Chapter 5 Conclusion and Future Work 47
5.1 Conclusion 47
5.2 Future Work 48
Bibliography 50
dc.language.isoen
dc.subject顯示螢幕zh_TW
dc.subject色彩校正zh_TW
dc.subjectgamma 校正zh_TW
dc.subject色彩一致性zh_TW
dc.subject全彩發光二極體zh_TW
dc.subject情緒燈光zh_TW
dc.subjectmonitoren
dc.subjectphotometric calibrationen
dc.subjectcolor consistencyen
dc.subjectmulti-color LEDen
dc.subjectemotional light systemen
dc.subjectgamma correctionen
dc.title全彩發光二極體與顯示螢幕之間的色彩校正zh_TW
dc.titleAchieving Color Consistency between Multi-color LED and Monitoren
dc.typeThesis
dc.date.schoolyear98-2
dc.description.degree碩士
dc.contributor.coadvisor李明穗(Ming-Sui Lee)
dc.contributor.oralexamcommittee蔡玉寶(Yu-Pao Tsai),張文彥(Wen-Yen Chang),唐政元(Cheng-Yuan Tang)
dc.subject.keyword全彩發光二極體,色彩一致性,色彩校正,顯示螢幕,gamma 校正,情緒燈光,zh_TW
dc.subject.keywordmulti-color LED,color consistency,photometric calibration,monitor,emotional light system,gamma correction,en
dc.relation.page54
dc.rights.note有償授權
dc.date.accepted2010-08-19
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊工程學研究所zh_TW
顯示於系所單位:資訊工程學系

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