Abstract
Image steganography involves embedding the secret information into a cover media without creating noticeable changes in it and keeping its presence hidden. In this paper, transform domain image steganography is proposed that benefits from the ridgelet transform and SVD matrix decomposition technique. The principal component obtained by singular value decomposition of ridgelet coefficients acts as an embedding location. Stego image is obtained by embedding the secret image in it. Experimental results in terms of imperceptibility and robustness are verified using standard image quality metrics. Simulation results validate superior visual quality with a large payload. Proposed approach is also robust to several image processing attacks like noise addition, geometric transformations, histogram equalisation, JPEG compression, etc.
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Subhedar, M. (2022). Image Steganography Using Ridgelet Transform and SVD. In: Thakkar, F., Saha, G., Shahnaz, C., Hu, YC. (eds) Proceedings of the International e-Conference on Intelligent Systems and Signal Processing. Advances in Intelligent Systems and Computing, vol 1370. Springer, Singapore. https://doi.org/10.1007/978-981-16-2123-9_6
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DOI: https://doi.org/10.1007/978-981-16-2123-9_6
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