首页> 外文期刊>Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter >Resolution enhanced 3D image reconstruction by use of ray tracing and auto-focus in computational integral imaging
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Resolution enhanced 3D image reconstruction by use of ray tracing and auto-focus in computational integral imaging

机译:通过在计算积分成像中使用光线跟踪和自动对焦,分辨率增强3D图像重建

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摘要

We propose a three-dimensional (3D) image reconstruction algorithm that can computationally reconstruct the light field image with enhanced resolution. This method is based on ray tracing and can reconstruct the elemental images from arbitrary viewpoints. In the conventional integral imaging reconstruction process, a plane needs to be selected to make the reconstructed image in focus, so prior knowledge is required. Auto-focus (AF) of the digital camera is applied in the integral imaging reconstruction process and the optimal reconstruction plane can be selected automatically without any prior knowledge. Thus, the integral imaging system can record the light field of 3D scene without focusing on them and image focusing will be completed in the computational post processing process. To our knowledge, this is the first time to apply auto-focus method to 3D integral imaging reconstruction. Furthermore, the depth-of-field can be controlled by adjusting the transmission angle of light ray from the elemental images. Experimental results are presented to demonstrate the feasibility and effectiveness of the proposed method. (C) 2017 Elsevier B.V. All rights reserved.
机译:我们提出了一种三维(3D)图像重建算法,其可以通过增强的分辨率来计算地重建光场图像。该方法基于射线跟踪,并且可以从任意观点重建元素图像。在传统的积分成像重建过程中,需要选择平面以使重建的图像进行焦点,因此需要先验知识。在数码相机的自动聚焦(AF)应用于整体成像重建过程,并且可以在没有任何先前知识的情况下自动选择最佳重建平面。因此,积分成像系统可以记录3D场景的光场,而不专注于它们,并且在计算后处理过程中将完成图像聚焦。据我们所知,这是第一次将自动焦点方法应用于3D整体成像重建。此外,可以通过调节来自元素图像的光线的传输角度来控制场景。提出了实验结果以证明所提出的方法的可行性和有效性。 (c)2017年Elsevier B.V.保留所有权利。

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