研究生: |
王珮嘉 Pei-Chia Wang |
---|---|
論文名稱: |
人類視覺檢測在液晶顯示器不均勻現象之探討 A Study of Human Vision Inspection for Mura |
指導教授: |
黃雪玲
Sheue-Ling Hwang |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 英文 |
論文頁數: | 77 |
中文關鍵詞: | Mura 、恰辨差 、視覺 、液晶顯示器 |
外文關鍵詞: | Mura, JND, vision, LCD |
相關次數: | 點閱:1 下載:0 |
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目前液晶顯示器影像品質的檢測還是由人主觀判定,沒有一定的準則來檢測Mura現象,因此,有必要建立使用者和製造者均可接受的Mura現象程度。我們設計Mura模擬實驗來了解人類視覺感知和Mura現象之間的關係。本研究以人因工程的觀點,考慮多種real Mura及其面積大小以及不同的受試者等因素,並有系統地收集資料,以了解哪個因素影響最大,建立國內的恰辨差模式,希望能作為國內LCD廠商檢測標準。
本研究將透過人因工程的方法,找出人類視覺檢測時的影響因素與影響方式,從實驗結果得知,面積大小是影響視覺對比閾值的最大因素,並進而將其間的關係數量化,以客觀的數據描述Mura特徵,並建立國內JND資料庫,進而作為廠商之間描述Mura的共通語言,避免爭議。
Currently, the image quality of LCD is examined by human subjectively. There are no consistent rules for examining Mura. For this reason, it is necessary to develop the acceptable Mura standard between users and manufacturers. By designing a Mura simulation experiment, it finds out the relationship between human visual perception and Mura phenomenon.
In the present study, some factors will be considered such as the various types and sizes of real Mura, and different subjects in the experiment. The steps of data collection and experiments are conducted systematically from the viewpoint of human factors. Furthermore, a domestic JND model of LCD industry can be constructed. This model will become an inspection criterion for domestic LCD industry.
This study was based on ergonomic experiment to find the factors and the methods in human inspection. From the experimental results, Mura size was the most important factor on visual contrast threshold. The objective in this research is to objectively describe the relationships between the Mura characteristics and visual contrast thresholds. Furthermore, the JND model may provide the common language and avoid debate between customers and industries.
1. Marino Menozzi, Urs Napflin, and Helmut Krueger, “CRT versus LCD: A pilot study on visual performance and suitability of two display technologies for use in office work”, Displays Vol. 20, pp3-10 (1999).
2. “Definition of Measurement Index (SEMU) for luminance Mura in FPD image quality inspection”, SEMI D31-1102 (2002).
3. T. Tamura, K. Tanaka, M. Baba, M. Suzuki and T. Furuhata, “Just noticeable difference (JND) contrast of Mura in LCDs on the five background luminance levels”, IDW pp1623-1626 (2004).
4. Jae Y. LEE and Suk I. YOO, “Automatic detection of region-mura defect in TFT-LCD”, IEICE Trans (2004).
5. http://www.propii.com.tw/downloads/radiant/MURA-chinese.pdf
6. http://www.toppoly.com/Toppoly/tw/Technology/TFT.asp
7. Y. Mori, K. Tanahashi,R. Yoshitake, and S. Tsuji, Extraction and evaluation of Mura images in liquid crystal displays, IBM Japan, Ltd.
8. 黃雪玲等五人,中華民國台灣薄膜電晶體液晶顯示器產業協會,合作研究計畫期末報告書 p16 (2005).
9. 黃雪玲等五人,中華民國台灣薄膜電晶體液晶顯示器產業協會,合作研究計畫期末報告書 pp30-31 (2005).
10. Brecher et al, Automated defect classification system, United States Patent, Patent Number:5,544,256 (1996)
11. 330-x Mura defect ,VESA, pp1-15 (2000).
12. Walter H. Ehresnstein and Addie Ehrenstein, Psychophysical Methods, chapter 43
13. Andrew B. Watson, Quest: A Bayesian adaptive psychometric method, Perception & Psychophysics (1983).
14. Jiang, X., Gramopadhye, A. K., Melloy, B. J., and Grimes, L. W, “Evaluation of best system performance: human, automated, and hybrid inspection systems”, Human Factors and Ergonomic in Manufacturing, vol. 13(2), pp137-125 (2003).
15. Chin-Chiuan Lin, Effect of screen luminance combination and text color on visual performance with TFT-LCD, International Journal of Industrial Ergonomics 35 pp229-235 (2005).
16. T. Tamura, K. Tanaka, T. Satoh, and T. Furuhata, “Relation between Just noticeable difference (JND) contrast of Mura in LCDs and its background luminance”, IDW pp1843-1846 (2005).
17. Peter G.J. Barten, Contrast sensitivity of the human eye and its effects on image quality, chapter 3, SPIE Press, Bellingham WA (1999).
18. Peter G.J. Barten, Formula for the contrast sensitivity of the human eye, SPIE Vol.5294 (2004).
19. 黃雪玲等五人,中華民國台灣薄膜電晶體液晶顯示器產業協會,合作研究計畫期末報告書 pp14-33 (2005).
20. Y. Mori, K. Tanahashi, R. Yoshitake, S.Tsuji, “Extraction and evaluation of mura images in liquid crystal displays”, Algorithms and Systems for Optical Information Processing V,SPIE, p299-306 (2001).
21. Y. Mori, R. Yoshitake, Tohru Tamura, “Evaluation and discrimination method of “mura” in liquid crystal displays by just noticeable difference observation”, Proceedings of SPIE, Vol. 4902, p715-720 (2002).