This model consists of four main modules: Adaptive Frequency Channel Attention Network (AFcaNet): adaptively extracting the frequency-domain features of each ...
A High-Capacity Steganography Algorithm Based on Adaptive Frequency Channel Attention Networks ... Network (AFHS-GAN). The proposed neural ...
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A High-Capacity Steganography Algorithm Based on Adaptive Frequency Channel Attention Networks ... Network (AFHS-GAN). The proposed neural ...
High-capacity adaptive steganography based on LSB and ...
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This method uses LSB algorithm and AES-128 encryption to increase the double-layer security of data, and a new approach of choosing index of image pixel. After ...
In this paper, we devise a novel steganography algorithm that has a high capacity, while still retaining the ability of adjusting the embedding distortion.
Dec 1, 2023 · Another approach is the use of adaptive frequency-domain channel attention networks (AFcaNet) in combination with high-capacity steganography ...
In this paper, we propose a high-capacity and robust steganography algorithm based on the IFRQI model. We embed the grayscale information of a 2 n × 2 n sized ...
7844 7844. Article: A High-Capacity Steganography Algorithm Based on Adaptive Frequency Channel Attention Networks Authors: by Shanqing Zhang, Hui Li, Li Li ...
Apr 30, 2024 · Deep learning is utilized in adaptive steganography through the proposed AFcaNet module, enhancing frequency-based features for high-capacity ...
Successful adaptive steganography has mainly focused on embedding the payload while minimizing an appropriately defined distortion function.