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首页> 外文会议>Conference on Algorithms and Systems for Optical Information Processing Ⅴ Jul 31-Aug 2, 2001, San Diego, USA >Compression of digital holograms for three-dimensional object recognition
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Compression of digital holograms for three-dimensional object recognition

机译：压缩数字全息图进行三维物体识别

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摘要

In this paper we present the results of applying data compression to a three-dimensional object recognition technique based on phase-shift digital holography. Industry-standard lossless data compression algorithms were first applied. Next, lossy techniques based on subsampling, discrete cosine transformation, and discrete Fourier transformation were examined. We used normalized cross-correlation in the object plane as our performance metric. For each hologram tested, we found that as many as 90% of the cosine and Fourier components could be removed, without significant loss in correlation performance.
机译：在本文中，我们介绍了将数据压缩应用于基于相移数字全息技术的三维物体识别技术的结果。首先应用了行业标准的无损数据压缩算法。接下来，研究了基于二次采样，离散余弦变换和离散傅立叶变换的有损技术。我们使用对象平面中的归一化互相关作为性能指标。对于每个测试的全息图，我们发现可以去除多达90％的余弦和傅立叶分量，而不会显着降低相关性能。

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