Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels

Autor: Myungjin Cho, Byungwoo Cho, Przemyslaw Kopycki, Manuel Martínez-Corral
Rok vydání: 2018
Předmět:
Zdroj: Cho, Byungwoo Kopycki, Przemyslaw Martínez Corral, Manuel Cho, Myungjin 2018 Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels Optics and Lasers in Engineering 111 114 121
RODERIC. Repositorio Institucional de la Universitat de Valéncia
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Popis: In this paper, we propose a new computational volumetric reconstruction technique of three-dimensional (3D) integral imaging for depth resolution enhancement by using non-uniform and integer-valued shifting pixels. In a typical integral imaging system, 3D images can be recorded and visualized using a lenslet array. In previous studies, many computational reconstruction techniques such as computational volumetric reconstruction and pixel of elemental images rearrangement technique (PERT) have been reported. However, a computational volumetric reconstruction technique has low visual quality and depth resolution because low-resolution elemental images and uniformly distributed shifting pixels are used for reconstruction. Although PERT can enhanced the visual quality of the 3D images, the size of the reconstructed 3D images is different from the original scene. On the other hand, our proposed method uses non-uniformly distributed shifting pixels for reconstruction instead of uniformly distributed shifting pixels. Therefore, the visual quality and depth resolution may be enhanced. Finally, our experimental results show the improvement of depth resolution and visual quality of the reconstructed 3D images.
Databáze: OpenAIRE