Abstract
In this paper we have proposed a new technique of hiding a message on least significant bit of a cover image using different progressions. We have also compared the cover image and stego images with histograms and computed the CPU Time, Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Structural Similarity (SSIM) index and Feature similarity index measure (FSIM) of all images with our method and earlier approaches and make an empirical study. Experimental results concluded that our method is more efficient and fast as compared to classical LSB and LSB using prime.
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Goel, S., Gupta, S., Kaushik, N. (2015). Image Steganography – Least Significant Bit with Multiple Progressions. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_12
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DOI: https://doi.org/10.1007/978-3-319-12012-6_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12011-9
Online ISBN: 978-3-319-12012-6
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