Image quality is a complex task because of the compound impacts of various aspects such as display traits,
image contents, and the human visual system. Recently, a variety of portable digital devices has been released
and their image quality becomes one of the significant factors for typical consumers; however image quality
evaluation for mobile displays has not understood well. This paper aims to propose a method to evaluate
sharpness of mobile displays based upon both display and image characteristics such as color gamut, spatial
resolution, color appearance attributes
In these days, consumer’s needs for image quality of mobile devices are increasing as smartphone is widely used. For
example, colors may be perceived differently when displayed contents under different illuminants. Displayed white in
incandescent lamp is perceived as bluish, while same content in LED light is perceived as yellowish. When changed in
perceived white under illuminant environment, image quality would be degraded. Objective of the proposed white
constancy method is restricted to maintain consistent output colors regardless of the illuminants utilized. Human visual
experiments are performed to analyze viewers’perceptual constancy. Participants are asked to choose the displayed white
in a variety of illuminants. Relationship between the illuminants and the selected colors with white are modeled by
mapping function based on the results of human visual experiments. White constancy values for image control are
determined on the predesigned functions. Experimental results indicate that propsed method yields better image quality
by keeping the display white.
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