- 學位論文
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
摘要
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。
並列摘要
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.