Anti-interference message steganography and extraction method, system, computer equipment and terminal

Abstract

The invention belongs to the technical field of message steganography, deep learning and neural networks, and discloses an anti-interference message steganography and extraction method, a system, computer equipment and a terminal.The anti-interference message steganography and extraction method comprises the steps that in the process of training a steganography function, items related to carrier image visual scores are used in a loss function; in the process of training the extraction function, the steganographic image passes through an interference simulation module so as to train the anti-interference capability of the image; and the user prints the obtained steganographic image on paper or displays the steganographic image on a screen, and extracts a message by using a network model after shooting and collecting by using camera equipment. According to the anti-interference message steganography and extraction method provided by the invention, based on the GAN architecture in deep learning, the message which is steganographically written into the steganography image can be effectively extracted from the steganography image, so that the purpose of hiding and distributing the message is achieved, and the visual quality of the image is not greatly damaged; meanwhile, common interference which affects the image quality in reality can be resisted.

Description

Technical field [0001] The present invention belongs to the field of messy, deep learning, and neural network technology, and more particularly to an anti-interference message implicit writing and extraction method, system, computer device, and terminal. Background technique [0002] At present, hidden writing is a technology that hides secret messages after normal messages. It is similar to that of the message encryption technology, and the implicit operation provides a viable alternative to encryption in a special environment, because in this case, Using encryption technology may cause unnecessary attention. Classical hidden is the secret exchange of exchanges used in ancient people, mainly including invisible ink, Carnan grille, Tibetan poetry, etc. Modern hidden is refers to using electronic communication and digital technology to hide the message to the digital media. Each modern vibration system contains two basic components: embedded algorithm and extraction algorithm. The...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the problems existing in the prior art, the present invention provides a method, system, computer equipment, and terminal for anti-jamming message steganography and extraction, and especially relates to a robust anti-jamming message steganography and extraction method based on deep learning technology, Systems, computer equipment, and terminals aim to solve the problem of robust message steganography in various complex situations that exist in reality

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