基于希尔伯特变换的全息滤波

M. Bayraktar, M. Ozcan
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引用次数: 0

摘要

全息技术可以实现真正的三维成像,但是零级图像和共轭图像是全息记录和重建过程中固有的,会降低物体图像的质量。本文首先简要介绍了全息图的记录和重建过程。在解释了全息中的滤波概念之后,总结了文献中存在的各种滤波技术,并给出了仿真结果。然后提出了一种基于希尔伯特变换的滤波技术。使用均方误差(MSE)分析对该方法的性能进行了评估,并观察到信噪比的显着改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hilbert transform based hologram filtering
Holography enables true three dimensional imaging, however zero-order image and conjugate image that are inherent in the hologram recording and reconstruction process degrades the quality of the object image. This paper starts with brief description of the hologram recording and reconstruction process. After explanation of the filtering concept in holography various filtering techniques that are present in the literature are summarized and supported with simulation results. Then a Hilbert transform based filtering technique is proposed. Performance of the proposed method is evaluated using Mean Squared Error (MSE) analysis and a notable improvement in the signal to noise ratio is observed.
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