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Image deep steganography (IDS) is a technique that utilizes deep learning to embed a secret image invisibly into a cover image to generate a container image.
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2001
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F. Alturki and R. Mersereau, “Secure blind image steganographic technique using discrete fourier transformation,” in Proceedings 2001 International Conference on Image Processing (Cat. No. 01CH37205) , vol. 2. IEEE, 2001, pp. 542–545
2001
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X. Zhang and S. Wang, “Vulnerability of pixel-value differencing steganography to histogram analysis and modification for enhanced security,” Pattern Recognition Letters , vol. 25, no. 3, pp. 331–339, 2004
2004
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M. Alghoniemy and A. Tewfik, “Geometric invariance in image watermarking,” IEEE Transactions on Image Processing , vol. 13, no. 2, pp. 145–153, 2004
2004
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T. K. Tsui, X.-P. Zhang, and D. Androutsos, “Color image watermarking using multidimensional fourier transforms,” IEEE Transactions on Information Forensics and security , vol. 3, no. 1, pp. 16–28, 2008
2008
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S. Xiang, H. J. Kim, and J. Huang, “Invariant image watermarking based on statistical features in the low-frequency domain,” IEEE Transactions on Circuits and Systems for Video Technology , vol. 18, no. 6, pp. 777–790, 2008
2008
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A. Cheddad, J. Condell, K. Curran, and P. Mc Kevitt, “Digital image steganography: Survey and analysis of current methods,” Signal processing , vol. 90, no. 3, pp. 727–752, 2010
2010
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A. Hore and D. Ziou, “Image quality metrics: Psnr vs. ssim,” in 2010 20th international conference on pattern recognition . IEEE, 2010, pp. 2366–2369
2010
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2010
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Y. J. Chanu, K. M. Singh, and T. Tuithung, “Image steganography and steganalysis: A survey,” International Journal of Computer Applications , vol. 52, no. 2, 2012
2012
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C. Qin, C.-C. Chang, Y.-H. Huang, and L.-T. Liao, “An inpainting-assisted reversible steganographic scheme using a histogram shifting mechanism,” IEEE transactions on circuits and systems for video technology , vol. 23, no. 7, pp. 1109–1118, 2012
2012
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J. Fridrich and J. Kodovsky, “Rich models for steganalysis of digital images,” IEEE Transactions on information Forensics and Security , vol. 7, no. 3, pp. 868–882, 2012
2012
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D. Rawat and V. Bhandari, “A steganography technique for hiding image in an image using lsb method for 24 bit color image,” International Journal of Computer Applications , vol. 64, no. 20, 2013
2013
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K.-H. Jung and K.-Y. Yoo, “Steganographic method based on interpolation and lsb substitution of digital images,” Multimedia Tools and Applications , vol. 74, no. 6, pp. 2143–2155, 2015
2015
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D. Baby, J. Thomas, G. Augustine, E. George, and N. R. Michael, “A novel dwt based image securing method using steganography,” Procedia Computer Science , vol. 46, pp. 612–618, 2015
2015
Cited alongside, same era.
O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” in International Conference on Medical image computing and computer-assisted intervention . Springer, 2015, pp. 234–241
2015
Cited alongside, same era.
R. Bhardwaj and V. Sharma, “Image steganography based on complemented message and inverted bit lsb substitution,” Procedia Computer Science , vol. 93, pp. 832–838, 2016
2016
Cited alongside, same era.
A. K. Singh, M. Dave, and A. Mohan, “Hybrid technique for robust and imperceptible multiple watermarking using medical images,” Multimedia Tools and Applications , vol. 75, pp. 8381–8401, 2016
2016
Cited alongside, same era.
R. Durall, M. Keuper, and J. Keuper, “Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2020, pp. 7890–7899
2020
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D. Volkhonskiy, I. Nazarov, and E. Burnaev, “Steganographic generative adversarial networks,” in Twelfth international conference on machine vision (ICMV 2019) , vol. 11433. SPIE, 2020, pp. 991–1005
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M. Tancik, B. Mildenhall, and R. Ng, “Stegastamp: Invisible hyperlinks in physical photographs,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2020, pp. 2117–2126
2020
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R. Hu and S. Xiang, “Cover-lossless robust image watermarking against geometric deformations,” IEEE Transactions on Image Processing , vol. 30, pp. 318–331, 2020
2020
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S. Baluja, “Hiding images in plain sight: Deep steganography,” Advances in neural information processing systems , vol. 30, 2017
2017
Cited alongside, same era.
J. Hayes and G. Danezis, “Generating steganographic images via adversarial training,” Advances in neural information processing systems , vol. 30, 2017
2017
Cited alongside, same era.
Q. Fan, J. Yang, G. Hua, B. Chen, and D. Wipf, “A generic deep architecture for single image reflection removal and image smoothing,” in Proceedings of the IEEE International Conference on Computer Vision , 2017, pp. 3238–3247
2017
Cited alongside, same era.
E. Agustsson and R. Timofte, “Ntire 2017 challenge on single image super-resolution: Dataset and study,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , July 2017
2017
Cited alongside, same era.
Z. Liu, P. Luo, X. Wang, and X. Tang, “Large-scale celebfaces attributes (celeba) dataset,” Retrieved August , vol. 15, no. 2018, p. 11, 2018
2018
Cited alongside, same era.
X. Weng, Y. Li, L. Chi, and Y. Mu, “High-capacity convolutional video steganography with temporal residual modeling,” in Proceedings of the 2019 on International Conference on Multimedia Retrieval , 2019, pp. 87–95
2019
Cited alongside, same era.
E. Wengrowski and K. Dana, “Light field messaging with deep photographic steganography,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2019, pp. 1515–1524
2019
Cited alongside, same era.
S. T. Jan, J. Messou, Y.-C. Lin, J.-B. Huang, and G. Wang, “Connecting the digital and physical world: Improving the robustness of adversarial attacks,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 33, no. 01, 2019, pp. 962–969
2019
Cited alongside, same era.
X. Luo, R. Zhan, H. Chang, F. Yang, and P. Milanfar, “Distortion agnostic deep watermarking,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2020, pp. 13 548–13 557
2020
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H.-Y. Fan, Z.-M. Lu, and Y.-L. Liu, “A low-frequency construction watermarking based on histogram,” Multimedia Tools and Applications , vol. 79, pp. 5693–5717, 2020
2020
Later among the works it cites.
J. Jing, X. Deng, M. Xu, J. Wang, and Z. Guan, “Hinet: deep image hiding by invertible network,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021, pp. 4733–4742
2021
Later among the works it cites.
S.-P. Lu, R. Wang, T. Zhong, and P. L. Rosin, “Large-capacity image steganography based on invertible neural networks,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 10 816–10 825
2021
Later among the works it cites.
L. Jiang, B. Dai, W. Wu, and C. C. Loy, “Focal frequency loss for image reconstruction and synthesis,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021, pp. 13 919–13 929
2021
Later among the works it cites.
J. Zhang, D. Chen, J. Liao, W. Zhang, H. Feng, G. Hua, and N. Yu, “Deep model intellectual property protection via deep watermarking,” IEEE Transactions on Pattern Analysis and Machine Intelligence , 2021
2021
Later among the works it cites.
2022
Later among the works it cites.
M. Khayatkhoei and A. Elgammal, “Spatial frequency bias in convolutional generative adversarial networks,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 36, no. 7, 2022, pp. 7152–7159
2022
Later among the works it cites.
X. Liu, Z. Ma, J. Ma, J. Zhang, G. Schaefer, and H. Fang, “Image disentanglement autoencoder for steganography without embedding,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022, pp. 2303–2312
2022
Later among the works it cites.
Y. Xu, C. Mou, Y. Hu, J. Xie, and J. Zhang, “Robust invertible image steganography,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022, pp. 7875–7884
2022
Later among the works it cites.