The effect of the level of transmission and surround luminance on image quality of transparent display is studied. The
images on the OLED transparent display were simulated on LCD monitor by adding background scene to the original
images. The psychophysical experiment was carried out on normal and simulated transparent displays under four levels
of surround luminance (dark, dim, average and bright) and four different levels of transmission (17, 52, 70 and 87%).
Four test images were selected for the psychophysical experiment. Fifteen subjects were participated in this experiment
and they were asked to answer the degree of preference of each image for each condition with 7-point Likert-scale. As
the result, it is found that the image quality of OLED transparent display deteriorates as the surround luminance
increases and the transmittance increases but lowering the monitor gamma can be helpful to increase the image quality.
This result suggests that image quality requirement for a transparent display is different from conventional opaque
displays.
KEYWORDS: Data conversion, Data modeling, Mathematical modeling, RGB color model, Image enhancement, Image processing, Chromium, Information operations, Adaptive optics, Algorithm development
YCbCr color space composed of luma and chominance components is preferred for its ease of image processing.
However the non-orthogonality between YCbCr components induces unwanted perceived chroma change as controlling
luma values. In this study, a new method was designed for the unwanted chroma change compensation generated by
luma change. For six different YCC_hue angles, data points named ‘Original data’ generated with uniformly distributed
luma and Cb, Cr values. Then the weight values were applied to luma values of ‘Original data’ set resulting in ‘Test
data’ set followed by ‘new YCC_chroma’ calculation having miminum CIECAM02 ΔC between original and test data
for ‘Test data’ set. Finally mathematical model is developed to predict amount of YCC_chroma values to compensate
CIECAM02 chroma changes. This model implemented for luma controlling algorithm having constant perceived
chroma. The performance was tested numerically using data points and images. After compensation the result is
improved 51.69% than that before compensation when CIECAM02 Δ C between ‘Original data’ and ‘Test data’ after
compensation is compared. When new model is applied to test images, there is 32.03% improvement.
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