Depth resolution enhancement of computational reconstruction of integral imaging

Byeongwoo Cho; Hui Yun; Kotaro Inoue; Myungjin Cho

doi:10.1117/12.2305272

16 May 2018 Depth resolution enhancement of computational reconstruction of integral imaging

Byeongwoo Cho, Hui Yun, Kotaro Inoue, Myungjin Cho

Proceedings Volume 10666, Three-Dimensional Imaging, Visualization, and Display 2018; 1066616 (2018) https://doi.org/10.1117/12.2305272
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

In this paper, we propose a new computational reconstruction technique of integral imaging for depth resolution enhancement by using integer-valued and non-uniform shifting pixels. In a general integral imaging system, we can record and visualize (or display) 3D object using lenslet array. In previous studies, many reconstruction techniques such as computational volumetric reconstruction and pixel of elemental images rearrangement technique (PERT) have been reported. However, a conventional 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. On the other hand, our proposed method uses non-uniformly distributed shifting pixels for reconstruction instead of uniformly distributed shifting pixels in conventional computational volumetric reconstruction. Thus, 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.

Citation Download Citation

Byeongwoo Cho, Hui Yun, Kotaro Inoue, and Myungjin Cho "Depth resolution enhancement of computational reconstruction of integral imaging", Proc. SPIE 10666, Three-Dimensional Imaging, Visualization, and Display 2018, 1066616 (16 May 2018); https://doi.org/10.1117/12.2305272

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KEYWORDS

3D image reconstruction

3D image processing

Image resolution

Integral imaging

Visualization

Imaging systems

Resolution enhancement technologies

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