A Study of Human Vision Inspection for Mura

• Main Authors: Pei-Chia Wang, 王珮嘉
• Other Authors: Sheue-Ling Hwang
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/92884248460408295711

碩士 === 國立清華大學 === 工業工程與工程管理學系 === 94 === 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.