An Novel Image Steganography Method via Deep Convolutional Generative Adversarial Networks

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Wang, Liang

Description

In this paper, we propose a novel image SWE method based on the deep convolutional generative adversarial networks (DCGANs). We map the secret information into a noise vector, and then use the trained generator neural network model to generate the carrier image based on the noise vector. During the process of image generation, there is no modification or embedding operation.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Computer Vision and Pattern Recognition

Field

Computer Science

Domain

Physical Sciences

Confidence Score

100%

Source

Open Alex

Keywords

Artificial Intelligence and Image ProcessingFOS: Computer and information sciences80106 Image Processing

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00