Abstract
This paper describes a model of human spatial vision and a corresponding procedure for using the model to define a quality metric and Mura defects for flat-panel-displays. Together the proposed model and human contrast thresholds constitute a Mura quality metric which is responsive to noise generating both characteristics of a display system and a machine vision system. Predictions of the contrast perception performance of the model is presented and compared with human performance data. Results revealed that very small errors between predictions made by the model and the subjective test data. The results of the validation studies conducted so far suggest that the proposed method for Mura defect quantification is feasible and warrants critical examination.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
