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首页> 外文期刊>Journal of Imaging Science and Technology >Digital Magnification of 3D Imaging Using an Intermediate-View Reconstruction Based on an Adaptive Block Matching Algorithm
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Digital Magnification of 3D Imaging Using an Intermediate-View Reconstruction Based on an Adaptive Block Matching Algorithm

机译：基于自适应块匹配算法的中间视图重建3D成像数字放大

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摘要

In this paper, digital magnification of three-dimensional (3D) imaging, using an ABMA intermediate view reconstruction (IVR) based on an adaptive block matching algorithm is proposed. The number of the elemental images obtained from a one-step pickup process can be computationally increased through the use of the proposed IVR without the need for mechanical movement and a long multistep pickup process. To show the feasibility of the proposed magnified 3D imaging system, using test images of a car, bottle, phone, and watch, it was shown that the proposed ABMA algorithm improves the peak signal to noise ratio of reconstructed intermediate images by as much as 5.16 dB on average in comparison with a conventional block and feature-based algorithm.
机译：本文提出了一种基于自适应块匹配算法的ABMA中间视图重建（IVR）技术，对三维（3D）图像进行数字放大。可以通过使用建议的IVR在计算上增加从单步拾取过程获得的元素图像的数量，而无需机械运动和漫长的多步拾取过程。为了展示所提出的放大3D成像系统的可行性，使用汽车，瓶子，电话和手表的测试图像，表明所提出的ABMA算法将重构的中间图像的峰信噪比提高了5.16倍。与传统的基于块和基于特征的算法相比，平均dB。

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