Shin Dong-Hak, Tan Chun-Wei, Lee Byung-Gook, Lee Joon-Jae, Kim Eun-Soo
Department of Visual Contents, Dongseo University, Sasang-Gu, Busan , Korea.
Appl Opt. 2008 Dec 10;47(35):6656-65. doi: 10.1364/ao.47.006656.
Computational integral imaging method can digitally provide a series of plane images of three-dimensional (3D) objects. However, the resolution of 3D reconstructed images is dramatically degraded as the distance from the lenslet array increases. In this paper, to overcome this problem, we propose a novel computational integral imaging reconstruction (CIIR) method based on smart pixel mapping (SPM). Since SPM is a computational process in which elemental images recorded at long distances are convertible to ones recorded near lenslet array, this can give us the improved resolution of plane images for 3D objects located at a long distance range from a lenslet array. For the effective use of the SPM-based CIIR method, we design a novel two-stage CIIR method by the combined use of the conventional CIIR and the SPM-based one. The conventional CIIR method is applied over a short distance range, while the SPM-based CIIR is used over a long distance range. We carry out some experiments to verify the performance of the two-stage CIIR system. From the experimental results, the proposed system can provide a substantial gain over a long distance range in terms of the resolution of reconstructed plane images.
计算积分成像方法能够以数字方式提供三维（3D）物体的一系列平面图像。然而，随着与微透镜阵列距离的增加，三维重建图像的分辨率会急剧下降。在本文中，为克服这一问题，我们提出了一种基于智能像素映射（SPM）的新型计算积分成像重建（CIIR）方法。由于SPM是一个计算过程，其中在远距离记录的基元图像可转换为在微透镜阵列附近记录的基元图像，这能够提高位于距微透镜阵列远距离范围内的三维物体平面图像的分辨率。为有效利用基于SPM的CIIR方法，我们通过结合使用传统CIIR方法和基于SPM的方法，设计了一种新型的两阶段CIIR方法。传统CIIR方法应用于短距离范围,而基于SPM的CIIR方法用于长距离范围。我们进行了一些实验来验证两阶段CIIR系统的性能。从实验结果来看，所提出的系统在重建平面图像的分辨率方面，在长距离范围内能够实现显著提升。
