The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 10, 2024

Filed:

Sep. 15, 2020
Applicant:

Nanjing University, Jiangsu, CN;

Inventors:

Xun Cao, Jiangsu, CN;

Xiaowen Li, Jiangsu, CN;

Xia Hua, Jiangsu, CN;

Assignee:

NANJING UNIVERSITY, Jiangsu, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 5/10 (2006.01); G06T 5/20 (2006.01); G06T 5/70 (2024.01); G06T 7/136 (2017.01); H04N 23/957 (2023.01);
U.S. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 5/10 (2013.01); G06T 5/20 (2013.01); G06T 7/136 (2017.01); H04N 23/957 (2023.01); G06T 2207/10052 (2013.01);
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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