Abstract:
An image quality analysis method and an image quality analysis system for a display device are provided. The image quality analysis method and image quality analysis system provides a quantitative determination of image quality for display devices, thereby providing an objective and fair evaluation criterion.
Abstract:
An optical sheet optimization method includes the steps of: extracting a statistic sample using transmissivity, haze data and luminance data of an optical diffusion sheet corresponding to the transmissivity and the haze data; making a regression model for the extracted statistic sample; calculating a regression coefficient to minimize an error term (residual) of the regression model and deriving a regression expression using the calculated regression coefficient; and predicting a luminance of the optical diffusion sheet due to changes of the transmissivity and the haze data using the derived regression expression.
Abstract:
An image quality analysis method and an image quality analysis system for a display device are provided. The image quality analysis method for a display device includes the steps of outputting an image pattern for analysis of an image quality of the display device, dividing a screen display region to which the image pattern is output into a plurality of sub-regions, producing measurement data representing the image quality with respect to each of the plurality of sub-regions, arranging the produced measurement data as a time series, obtaining a fractal dimension exponent from the data as a time series, and evaluating the fractal dimension exponent as a level of uniformity of the image quality of the display device.