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16 May 2018 Computational reconstruction technique in integral imaging with enhanced visual quality
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In this paper, we propose a visual quality enhancement of 3D reconstruction algorithm in integral imaging. Conventional integral imaging has a critical problem that attenuates the visual quality of 3D objects when low-resolution elemental images are used. Although, PERT is one of the solutions, the size of 3D scenes is different from optical reconstruction since it is not considering space between back-projected pixels on reconstruction planes. Therefore, we consider this space and use convolution operator. Especially, convolution operator can be designed by considering aperture shapes. To support our proposed method, we carry out optical experiment and computer simulations.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kotaro Inoue, Byeongwoo Cho, Hui Yun, and Myungjin Cho "Computational reconstruction technique in integral imaging with enhanced visual quality", Proc. SPIE 10666, Three-Dimensional Imaging, Visualization, and Display 2018, 106660A (16 May 2018);

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