In this paper, we propose the well-enhancing method for the resolution of the reconstructed image of the mobile threedimensional integral imaging display system. A mobile 3D integral imaging display system is a valuable way to acquire the 3D information of real objects and display the realistic 3D visualizations of them on the mobile display. Here, the 3D color and depth information are acquired by the 3D scanner, and the elemental image array (EIA) is generated from the acquired 3D information virtually. However, the resolution of the EIA is quite low due to the low-resolution of the acquired depth information, and it affects the final reconstructed image resolution. In order to enhance the resolution of reconstructed images, the EIA resolution should be improved by increasing the number of elemental images, because the resolution of the reconstructed image depends on the number of elemental images. For the comfortable observation, the interpolation process should be iterated at least twice or three times. However, if the interpolation process is iterated more than twice, the reconstructed image is damaged, and the quality is degraded considerably. In order to improve the resolution of reconstructed images well, while maintaining the image quality, we applied the additional convolutional super-resolution algorithm instead of the interpolation process. Finally, the 3D visualizations with a higher resolution and fine-quality are displayed on the mobile display.
Munkh-Uchral Erdenebat, Md. Shahinur Alam, Ki-Chul Kwon, Ki Hoon Kwon, Min Young Kim, Sang-Keun Gil, and Nam Kim, "Resolution-enhanced mobile three-dimensional display based on computer-generated integral imaging," Proc. SPIE 10942, Advances in Display Technologies IX, 109420P (Presented at SPIE OPTO: February 07, 2019; Published: 1 March 2019); https://doi.org/10.1117/12.2510928.
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