STEGANOGRAPHY METHOD
    2.
    发明申请

    公开(公告)号:US20230066458A1

    公开(公告)日:2023-03-02

    申请号:US17897246

    申请日:2022-08-29

    Abstract: The present application relates to a steganography method and a steganography apparatus using the same. According to the steganography method of the present application and the steganography apparatus using the same, they can simplify a data refinement process compared to the supervised learning method as AI learns a large amount of data related to steganography encoding and decoding by itself, can generate a high-quality stego video close to the cover video to improve the imperceptibility of hidden information as the generator and discriminator conduct mutual learning, can hide the message in the images and/or sounds according to the learning method to secure a high-capacity cache, and can secure robustness against third-party detection, monitoring, and removal attacks when learning the detection and avoidance methods of physical and technical detection systems (monitoring equipment, wiretapping equipment and security equipment, etc.). In addition, according to the steganography method of the present application, it can simplify a data refinement process compared to the supervised learning method as AI learns a large amount of data related to steganography decoding by itself, and can recover the hidden message close to the original hidden message to improve perceptibility of hidden information as the generator and the discriminator conduct mutual learning.

    METHOD FOR SYNTHESIZING IMAGE
    3.
    发明申请

    公开(公告)号:US20220188972A1

    公开(公告)日:2022-06-16

    申请号:US17549944

    申请日:2021-12-14

    Abstract: The present application relates to a method for synthesizing image and an image synthesizing apparatus using the same. The image synthesizing method of the present application and the image synthesizing apparatus using the same can reduce the time required for learning by reducing the distortion phenomenon of the algorithm and reducing the amount of calculation required for image synthesis. In addition, the image synthesizing method of the present application and the image synthesizing apparatus using the same can be utilized in various fields such as national defense, IT, and entertainment based on characteristics such as excellent performance and learning time reduction of deep learning algorithms, and can be utilized in psychological warfare or induction of command system confusion.

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