
International Journal on Science and Technology
E-ISSN: 2229-7677
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
April-June 2025
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To compare and analyze the effectiveness of Various state of the art StegnoGAN Methods
Author(s) | A.Dharani, M.Lathika Sri, T.Muneeswari, J.Hemalatha, M.Sekar |
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Country | India |
Abstract | Image steganography hides secret messages within images, aiming to conceal the message's existence. Traditional methods often lack robustness and visual quality. With deep learning, especially GANs, data hiding has become more effective. GANs enable seamless embedding of information while maintaining image realism, making them ideal for secure, imperceptible communication. |
Keywords | Data hiding, Steganography, Generative Adversarial Networks, Deep Learning, |
Field | Engineering |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-05-07 |
DOI | https://doi.org/10.71097/IJSAT.v16.i2.4735 |
Short DOI | https://doi.org/g9hsps |
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IJSAT DOI prefix is
10.71097/IJSAT
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