Color gamut is one of the most important performance indicators of multimedia systems because a wide color gamut enables the reproduction of more real surface colors. The color gamut of multimedia systems depends on the RGB (red-green-blue) primary. There are various RGB primaries, such as ITU-R BT.709, ITU-R BT.2020, sRGB, Adobe RGB, and DCI-P3. ITU-R BT.709 and sRGB have a very small color gamut, while ITU-R BT.2020 has an extremely wide one. Adobe RGB and DCI-P3 have RGB primaries with the characteristics of color printers and digital cinema projectors, respectively. Also, some of these RGB primaries are not compatible with each other. Thus, the contents of a system should be converted for use in other systems. This paper proposes an RGB primary for use in various multimedia systems. In the proposed method, sRGB, Adobe RGB, and DCI-P3-the most frequently used RGB primaries-are unified. In this paper, the color gamut efficiency and human visual preference of the proposed RGB primary are checked. The proposed RGB primary is expected to be utilized as an international-standard RGB primary for multimedia systems.

There is a growing possibility applied to the foldable display for mobile devices because consumers want to see the big screen and they prefer mobile devices easy to carry around. However, a foldable display has crease because it generally uses laminated films or plastic substrates. In this study, we conducted the experiments in which people perceive crease on the flexible display for the various display viewing environments. The result shows that subjects most easily perceived crease in a bright room and panel off-state when the folding radius is 5 mm (5R). They perceived crease at an average height of 143 μm in that condition. The subjects perceived crease at an average height of 185.5 μm in the outdoor with display off condition. Also we analyzed that the subjects perceived the crease better when the folding radius of the flexible display was smaller than 5R. We expect that this study will contribute to the standardization of the new assessment method and to setting perception standards for the flexible display.

We propose a method for evaluating the 3D image quality with a peak signal to noise ratio (PSNR) and structural similarity index (SSIM), which are image comparison metrics. Compare light field display (LFD) quality level with existing 3D X‐Talk evaluation and depth range evaluation method. And we proceed verification of image comparison metrics through 2D image. After creating a pattern dedicated to 3D evaluation for 3D application of image comparison metrics, 3D image quality evaluation is carried out. In summary, the present paper proposes a method for performing 3D image quality evaluation through image comparison metrics using only 3D images.