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Occlusion-removed scheme using depth-reversed method in computational integral imaging

机译:计算积分成像中采用深度反演的遮挡方案

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摘要

We present a computational scheme for removing an occlusion in a partially occluded, far object in a computational integral imaging (CII) system. In order to obtain the high resolution elemental image array (EIA) with enhanced information of the occluded image for better applying block matching, a smart pixel mapping process and a subimage transform process are adopted. Based on depth maps produced between adjacent subimages, we acquire the expected EIA without occlusion information. Theoretical analysis of the proposed scheme is given. To show the effectiveness of the proposed scheme, we carry out some experiments. As demonstrated using test images, experimental results show that the proposed scheme outperforms Shin's scheme and the CII scheme under the same situations.
机译:我们提出了一种计算方案,用于去除计算积分成像(CII)系统中部分被遮挡的远物体中的遮挡。为了获得具有增强的遮挡图像信息的高分辨率基本图像阵列(EIA)以更好地应用块匹配,采用了智能像素映射处理和子图像变换处理。基于相邻子图像之间产生的深度图,我们获得了没有遮挡信息的预期EIA。对该方案进行了理论分析。为了显示该方案的有效性,我们进行了一些实验。如测试图像所示,实验结果表明,在相同的情况下,该方案优于Shin方案和CII方案。

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