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Quality of reconstruction of compressed off-axis digital holograms by frequency filtering and wavelets

机译:频率滤波和小波通过压缩偏离轴数字全息图的重建质量

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摘要

Compression of digital holograms can significantly help with the storage of objects and data in 2D and 3D form, its transmission, and its reconstruction. Compression of standard images by methods based on wavelets allows high compression ratios (up to 20-50 times) with minimum losses of quality. In the case of digital holograms, application of wavelets directly does not allow high values of compression to be obtained. However, additional preprocessing and postprocessing can afford significant compression of holograms and the acceptable quality of reconstructed images. In this paper application of wavelet transforms for compression of off-axis digital holograms are considered. The combined technique based on zero-and twin-order elimination, wavelet compression of the amplitude and phase components of the obtained Fourier spectrum, and further additional compression of wavelet coefficients by thresholding and quantization is considered. Numerical experiments on reconstruction of images from the compressed holograms are performed. The comparative analysis of applicability of various wavelets and methods of additional compression of wavelet coefficients is performed. Optimum parameters of compression of holograms by the methods can be estimated. Sizes of holographic information were decreased up to 190 times. (C) 2017 Optical Society of America
机译:压缩数字全息图可以在2D和3D形式中存储对象和数据,其传输及其重建。基于小波的方法压缩标准图像允许具有最小质量损耗的高压缩比(高达20-50次)。在数字全息图的情况下,小波直接应用不允许获得高值的压缩。然而,额外的预处理和后处理可以负担于全息图的显着压缩和重建图像的可接受的质量。在本文中,考虑了用于压缩轴外数字全息图的小波变换。基于零和双阶消除的组合技术,所获得的傅里叶频谱的幅度和相位分量的小波压缩,以及通过阈值和量化进一步额外的小波系数压缩。进行了关于从压缩全息图重建图像的数值实验。进行各种小波的适用性的比较分析及小波系数的附加压缩方法。可以估计通过该方法压缩全息图压缩的最佳参数。全息信息大小均降至190倍。 (c)2017年光学学会

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  • 来源
    《Applied optics》 |2018年第1期|共10页
  • 作者单位

    Natl Res Nucl Univ MEPhI Moscow Engn Phys Inst Kashirskoye Shosse 31 Moscow 115409 Russia;

    Natl Res Nucl Univ MEPhI Moscow Engn Phys Inst Kashirskoye Shosse 31 Moscow 115409 Russia;

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