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To address the poor imperceptibility, insufficient security, and low steganographic capacity in image steganography, a novel dual-domain fusion image steganography scheme based on improved ConvNeXt Block was proposed. Firstly, the improved depth separable convolution module could learn more detailed image feature information. Secondly, a novel spatial and frequency domain information fusion way was designed to improve image imperceptibility and security. Finally, multiple loss functions were employed to constrain the network in a cascaded manner. Experimental results showed that the proposed scheme achieved an average increase of 3-4 dB in peak signal-to-noise ratio compared to other steganography schemes, and the average structural similarity and learned perceptual image patch similarity were 0.99 and 0.001, respectively. The resistance to steganalysis was closer to 50%, indicating higher security. Even with high-capacity hiding, good results were still maintained.
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Basic Information:
DOI：10.13705/j.issn.1671-6841.2024123
China Classification Code:TP309.7;TP18
Citation Information:
[1]DUAN Xintao,XU Kaiou,BAI Luwei ,et al.A Novel Dual-domain Fusion Image Steganography Based on Improved ConvNeXt Block[J].Journal of Zhengzhou University(Natural Science Edition),2026,58(01):1-9.DOI:10.13705/j.issn.1671-6841.2024123.
Fund Information:
河南省高等学校重点科研项目(23A520006); 河南省科技攻关计划项目(222102210199)