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Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Related Experiment Video

Updated: Jul 1, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Speckle noise suppression method in a holographic display based on pixel processing.

Su-Juan Liu, Shuai-Ze Kang, Long-Fei Feng

    Applied Optics
    |March 4, 2024
    PubMed
    Summary

    This study introduces a novel pixel processing method to reduce speckle noise in holographic displays. By optimizing sub-computer-generated holograms (sub-CGHs), the technique significantly enhances reconstructed image quality.

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    Area of Science:

    • Optics and Photonics
    • Digital Holography
    • Image Processing

    Background:

    • Speckle noise is a significant artifact in holographic displays, degrading image quality.
    • Existing methods for speckle reduction often involve complex optical setups or computational overhead.

    Purpose of the Study:

    • To propose and validate a pixel processing method for suppressing speckle noise in holographic displays.
    • To improve the visual fidelity of reconstructed holographic images.

    Main Methods:

    • Object pixels are spatially separated into groups, with each group recorded as a sub-computer-generated hologram (sub-CGH).
    • The phase of each pixel within the sub-CGH is optimized.
    • Sequential loading of optimized sub-CGHs onto a spatial light modulator during reconstruction.

    Main Results:

    • The proposed method effectively suppresses speckle noise in holographic reconstructions.
    • Reduction in algorithm error and overlapping areas of adjacent image points contributes to noise suppression.
    • Experimental validation confirms the feasibility and effectiveness of the technique.

    Conclusions:

    • The developed pixel processing approach offers a viable solution for speckle noise reduction in holographic displays.
    • This method enhances the quality of reconstructed holographic images through optimized sub-CGH generation and processing.
    • The findings pave the way for clearer and more realistic holographic imaging applications.