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Research Article | Open Access |

LSB based Image Steganography by using the Fast Marching Method

Author 1: Xiaoli Huan Author 2: Hong Zhou Author 3: Jiling Zhong
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 3 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100301

Abstract

This paper presents a novel approach for image steganography based on the Least Significant Bit (LSB) method. Most traditional LSB methods choose the initial embedding location of the cover image randomly, and the secret messages are embedded sequentially without considering the image pixels’ values and positions. Our approach utilizes the user-selected seeds in the cover image to avoid the smooth/flat areas where cause a higher detection rate. Then the fast marching method is used to calculate T (the time of arrival of the front of the seeds) and propagate the seeds by computational dynamics. The front propagation process decides the embedding positions of the secret messages. The same algorithm can be used to retrieve the hidden information as well. The coordinates of the seeds are used as the shared key only known to the sender and receiver to add additional security protection. Peak Signal to Noise Ratio (PSNR) is evaluated to measure the quality of resulting images. The experiments show that the proposed approach generates results with high payload capacity and satisfied imperceptibility.

Keywords

How to Cite this Article

Huan, X., Zhou, H., & Zhong, J. (2019). LSB based Image Steganography by using the Fast Marching Method. International Journal of Advanced Computer Science and Applications, 10(3). https://doi.org/10.14569/IJACSA.2019.0100301

Huan, Xiaoli, et al.. "LSB based Image Steganography by using the Fast Marching Method." International Journal of Advanced Computer Science and Applications, vol. 10, no. 3, 2019, https://doi.org/10.14569/IJACSA.2019.0100301.

@article{Huan2019,
  title     = {LSB based Image Steganography by using the Fast Marching Method},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {3},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Xiaoli Huan and Hong Zhou and Jiling Zhong},
  doi       = {10.14569/IJACSA.2019.0100301},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100301}
}

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