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:
Oct. 07, 2025

Filed:

Aug. 22, 2023
Applicant:

Dalian University, Dalian, CN;

Inventors:

Qiang Zhang, Dalian, CN;

Bin Wang, Dalian, CN;

Jun Tan, Dalian, CN;

Rongrong Chen, Dalian, CN;

Xiaopeng Wei, Dalian, CN;

Assignee:

DALIAN UNIVERSITY, Liaoning, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 1/00 (2006.01); G06T 3/40 (2024.01); G06V 10/764 (2022.01); G06V 10/771 (2022.01);
U.S. Cl.
CPC ...
G06T 1/0028 (2013.01); G06T 3/40 (2013.01); G06V 10/764 (2022.01); G06V 10/771 (2022.01);
Abstract

The present disclosure discloses a method for watermarking depth image based on mixed frequency-domain channel attention, relating to the field of artificial neural networks and digital image watermarking; the method includes: step 1: a watermark information processor generating a watermark information feature map; step 2: an encoder generating a watermarked image from a carrier image and a watermark information feature map; step 3: a noise layer taking the watermarked image as an input, and generating a noise image through simulated differentiable noise; step 4: a decoder down-sampling the noise image to recover watermark information; step 5: a countermeasure discriminator classifying the carrier image and the watermarked image such that the encoder generates a watermarked image with a high quality. The present disclosure combines the end-to-end depth watermark model with frequency-domain channel attention to expand an application range of the depth neural network in the field of image watermark.


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