KEYWORDS: LCDs, Video, RGB color model, Image quality, High dynamic range imaging, Digital video recorders, Televisions, Manufacturing, Analytical research, Visualization
Many display manufacturers have studied RGBW pixel structure adding a white sub-pixel to RGB LCD and recently
revealed UHD TVs based on novel RGBW LCD. The RGBW LCD has 50% higher white luminance and 25% lower
primary color luminance compared to RGB LCD.
In this paper, the image quality of RGBW and RGB LCD was dealt with. Before evaluating them, TV broadcast video
and IEC-62087 video were analyzed for test video clips. In order to analyze them, a TV reference video from TV
broadcast content in Korea was firstly collected. As a result of TV reference video analysis, RGBW LCD was expected
to improve image quality more because most of colors are distributed around white point and population ratio of
achromatic colors is higher.
RGB, RGBW and RGBW using wide color gamut (WCG) backlight unit (BLU) LCDs were prepared, and a series of
visual assessments were conducted. As a result, RGBW LCD obtained higher scores than RGB LCD about four
attributes (‘Brightness’, ‘Naturalness’, ‘Contrast’ and overall image quality) and ‘Colorfulness’ was not higher score
than RGB LCD in test still images. RGBW LCD’s overall image quality in the TV reference video clips also was
assessed higher than RGB LCD. Additionally, RGBW LCD using WCG BLU shows better performance about
especially ‘Colorfulness’ than RGBW LCD.
A series of psychophysical experiments using categorical judgment method was carried out to develop a colour
naturalness metric (CNM) for evaluating image quality of mobile displays. These experiments included colour
naturalness judgment and image-quality difference judgment. Through the former one, CNMs were trained and the latter
experiment tested the metrics. Two types of CNMs were newly proposed: nonlinearly decaying CNM and linearly
decaying CNM. In the CNMs, it was assumed that one familiar object in an image played a critical role to judge the
colour naturalness of the whole image. Through a performance comparison between objects' models, one critical object
in a scene was selected and with the critical object's model, the whole scene's colour naturalness was predicted.
A series of psychophysical experiments using paired comparison method was performed to investigate various visual
attribute affecting image quality of a mobile display. An image quality difference model was developed to show high
correlation with visual results. The result showed that Naturalness and Clearness are the most significant attributes
among the perceptions. A colour quality difference model based on image statistics was also constructed and it was
found colour difference and colour naturalness are important attributes for predicting image colour quality difference.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.