High-capacity image hiding method and system based on coding-decoding network
A decoding network and encoding network technology, which is applied in biological neural network models, image communication, electrical components, etc., can solve the problem of poor quality of secret image reconstruction with secret image quality, and achieve the effect of improving image quality and visual quality
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0068] An embodiment of the present invention provides a large-capacity image-to-image method based on an encoding-decoding network, such as figure 1 As shown, it specifically includes the following steps:
[0069] S1, input a carrier image and two secret images to the dual-branch encoding network based on the Res2Net-Inception-SE module to generate a secret image;
[0070] In the specific implementation process, the carrier image is independently input to one branch of the encoding network, and the two secret images are input to the other branch of the encoding network after channel stacking operation.
[0071] In a specific implementation of the Fang Ming embodiment, such as figure 2 As shown, the dual-branch encoding network based on the Res2Net-Inception-SE module includes: the first convolution operation group Conv1_c of the carrier branch, the Res2Net-Inception-SE module R_c of the carrier branch, the second convolution operation group Conv2_c of the carrier branch, a...
Embodiment 2
[0123] Based on the same inventive concept as in Embodiment 1, an embodiment of the present invention provides a large-capacity image-to-image system based on an encoding-decoding network, including:
[0124] A generating unit for inputting a carrier image and two secret images into a dual-branch encoding network based on the Res2Net-Inception-SE module to obtain a secret image embedded with two secret images;
[0125] A reconstruction unit, configured to input the secret image into the W-Net network to obtain two reconstructed secret images;
[0126] The training unit is used to design a mixed loss function according to the quality of the dense image and the quality of the reconstructed secret image, and use it as the total loss function of the steganographic network, and optimize the steganographic network with the goal of minimizing the loss function. When the loss decreases And think that training ends when keeping stable; Described steganography network comprises the two-...
PUM

Abstract
Description
Claims
Application Information

- R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com