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ELEMENTAL IMAGE GENERATION ALGORITHM USING REVERSE ITERATION ALONG OPTICAL PATH

机译:沿光学路径使用反向迭代的基本图像生成算法

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摘要

We propose a fast elemental image generation algorithm for integral imaging display based on depth information and a two-dimensional scene image. Existing elemental image generation algorithms establish many-to-one mappings from the scene to the elemental image, thereby including redundant calculations. The improved algorithm entails establishing a single mapping from elemental image to the scene. Each pixel in the elemental image matches a unique scene pixel by inverse iteration along the optical path. This establishes a high precision matching and eliminates hole caused by depth discontinuities. In this paper, we obtain a unique mapping solution by inverse iteration along the optical path using a one-pixel step. The time complexity of this algorithm is mainly driven by the pixel sum of the elemental image array. We generate the elemental image seven times faster than the original algorithm. The larger total quantity of the scene pixels further demonstrates the advantages of our algorithm. The experiments show that the update rate can reach more than 30 fps according to the VCD standard (352x240 resolution) using four parallel calculation threads with a four-core Intel (R) Core(TM) i7-7500U 2.70 GHz CPU despite various delay factors. The results verify the correctness of the theoretical analysis.
机译:我们提出了一种基于深度信息和二维场景图像的用于整体成像显示的快速基本图像生成算法。现有的基本图像生成算法可建立从场景到基本图像的多对一映射,从而包括冗余计算。改进的算法需要建立从基本图像到场景的单个映射。基本图像中的每个像素通过沿光路的逆迭代与唯一的场景像素匹配。这建立了高精度的匹配,并消除了由深度不连续引起的孔。在本文中,我们通过使用一个像素步长沿光路进行逆迭代获得了唯一的映射解决方案。该算法的时间复杂度主要由基本图像阵列的像素和驱动。我们生成原始图像的速度是原始算法的七倍。场景像素的总量更大,进一步证明了我们算法的优势。实验表明,尽管有各种延迟因素,但使用四个并行计算线程和四核Intel(R)Core i7-7500U 2.70 GHz CPU时,根据VCD标准(352x240分辨率),更新速率可以达到30 fps以上。 。结果验证了理论分析的正确性。

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