Title:
TRAINING METHOD FOR DEEP RESIDUAL NETWORK FOR REMOVING A MOIRE PATTERN OF TWO-DIMENSIONAL CODE
Document Type and Number:
WIPO Patent Application WO/2021/134874
Kind Code:
A1
Abstract:
A training method for a deep residual network for removing a moire pattern of a two-dimensional code, comprising: preparing an original two-dimensional code image having a moire pattern (S100); inputting the original two-dimensional code image into a preprocessing module, and then performing down-sampling processing to form a zoomed-out preprocessed image (S300); inputting the preprocessed image into a first residual module for up-sampling processing to form a first output image of which the image size is zoomed in to the size of the original two-dimensional code image (S400); inputting the first output image into a second residual module to form a second output image for recovering lost image information of the first output image (S500); and performing feature fusion on the second output image and the original two-dimensional code image to form a feature fusion image, and inputting the feature fusion image into a third residual module to perform purification processing to form a moire pattern-removed image in which a moire pattern is removed (S600). Therefore, the moire pattern in an original two-dimensional code image can be removed more effectively.
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Inventors:
CHEN CHANGSHENG (CN)
LU HAN (CN)
HUANG JIWU (CN)
LU HAN (CN)
HUANG JIWU (CN)
Application Number:
PCT/CN2020/076819
Publication Date:
July 08, 2021
Filing Date:
February 26, 2020
Export Citation:
Assignee:
UNIV SHENZHEN (CN)
International Classes:
G06T5/00; G06K7/14; G06K19/06; G06N3/04
Foreign References:
| CN110287969A | 2019-09-27 | |||
| CN109345449A | 2019-02-15 | |||
| US20180268533A1 | 2018-09-20 | |||
| CN109993698A | 2019-07-09 | |||
| CN107358575A | 2017-11-17 |
Attorney, Agent or Firm:
SHENZHEN SERMON PATENT FIRM (CN)
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