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Research Article | Open Access |

A Fresnelet-Based Encryption of Medical Images using Arnold Transform

Author 1: Muhammad Nazeer Author 2: Dai-Gyoung Kim Author 3: Bibi Nargis Author 4: Yasir Mehmood Malik
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 3 · Published 2013 · Cited by 13

DOI: https://doi.org/10.14569/IJACSA.2013.040322

Abstract

Medical images are commonly stored in digital media and transmitted via Internet for certain uses. If a medical information image alters, this can lead to a wrong diagnosis which may create a serious health problem. Moreover, medical images in digital form can easily be modified by wiping off or adding small pieces of information intentionally for certain illegal purposes. Hence, the reliability of medical images is an important criterion in a hospital information system. In this paper, the Fresnelet transform is employed along with appropriate handling of the Arnold transform and the discrete cosine transform to provide secure distribution of medical images. This method presents a new data hiding system in which steganography and cryptography are used to prevent unauthorized data access. The experimental results exhibit high imperceptibility for embedded images and significant encryption of information images.

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How to Cite this Article

Nazeer, M., Kim, D., Nargis, B., & Malik, Y. M. (2013). A Fresnelet-Based Encryption of Medical Images using Arnold Transform. International Journal of Advanced Computer Science and Applications, 4(3). https://doi.org/10.14569/IJACSA.2013.040322

Nazeer, Muhammad, et al.. "A Fresnelet-Based Encryption of Medical Images using Arnold Transform." International Journal of Advanced Computer Science and Applications, vol. 4, no. 3, 2013, https://doi.org/10.14569/IJACSA.2013.040322.

@article{Nazeer2013,
  title     = {A Fresnelet-Based Encryption of Medical Images using Arnold Transform},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {3},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Muhammad Nazeer and Dai-Gyoung Kim and Bibi Nargis and Yasir Mehmood Malik},
  doi       = {10.14569/IJACSA.2013.040322},
  url       = {https://doi.org/10.14569/IJACSA.2013.040322}
}

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