Frequency domain-based method for removing periodic noise from reconstructed light field image
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United States of America
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Dec 10, 2024
Grant Date -
Sep 28, 2023
app pub date -
Sep 15, 2020
filing date -
Sep 15, 2020
priority date (Note) -
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status (Latency Note)
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Abstract
A method for removing periodic noise from a reconstructed light field image includes the steps of: acquiring a light field image of a sample; acquiring an optical center position map without the sample; calibrating the imaging centers of the microlenses and performing reconstruction on the light field image; transforming a reconstructed light field image to the frequency domain and generating an image frequency spectrum; preprocessing the image frequency spectrum; generating a low-pass filter; multiplying the low-pass filter with the preprocessed image frequency spectrum, and then setting the frequency spectrum value of the low-frequency component to zero; performing binarization on the reconstructed light field image frequency spectrum to obtain an image mask; removing the high-frequency periodic noise component from the original frequency spectrum of the reconstructed light field image; and transforming the filtered reconstructed light field image frequency spectrum back to the spatial domain to obtain the reconstructed light field image.
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- 2020 Application Filing Year
- H04N Class
- 17398 Applications Filed
- 12940 Patents Issued To-Date
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