Research on image hiding algorithm based on deep neural network

Jingyi Zhang

doi:10.1117/12.2643479

9 October 2022 Research on image hiding algorithm based on deep neural network

Jingyi Zhang

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224614 (2022) https://doi.org/10.1117/12.2643479
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

Information hiding refers to embedding secret information in an imperceptible way with the help of redundant information in the multimedia carrier without affecting the sensory characteristics and use value of multimedia, and transmitting it in an open channel. Deep learning is a hot research direction in the field of machine learning in recent years. It allows machines to learn the inherent laws and representation levels of sample data, and ultimately enables machines to have the ability to analyze and learn like humans. Based on the baluja algorithm and the ISGAN algorithm, combined with the Inception module in GoogleNet and the relevant knowledge of the residual network in deep learning, this paper designs an image steganography algorithm suitable for hiding various images. It has been proved , the algorithm solves the problem of color distortion of the stego image in the baluja algorithm, reduces the gap between the stego image and the cover image, and improves the security of the stego image.

Citation Download Citation

Jingyi Zhang "Research on image hiding algorithm based on deep neural network", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224614 (9 October 2022); https://doi.org/10.1117/12.2643479

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KEYWORDS

Image quality

Neural networks

Networks

Distortion

Evolutionary algorithms

Steganography

Convolution

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