A singular value decomposition based approach for the compression of encrypted images

  • Authors

    • Hiyam Hatem Department of Computer Science, Collage of Computer Science and Information Technology, University of Sumer
    • Raed Majeed Department of Computer Information Technology, Collage of Computer Science and Information Technology, University of Sumer
    • Jumana Waleed Department of Computer Science, College of Science, University of Diyala
  • Discrete Wavelet Transform (Dwt), Image Encryption, Singular Value Decomposition (SVD), Image Compression.
  • Image compression is a process which supplies a good solution to the current problems of data storage by reducing redundancy, and irrelevance within images. This paper provides effective encryption then compression technique applied for compressing images within the entire domain of encryption. The Singular Value Decomposition (SVD) application has been described for the results of compression from an image encrypted based on Discrete wavelet transforms (DWT). Initially, the original image has been decomposed into a pyramid of wavelet by utilizing DWT. The DWT subbands are enciphered via a pseudo random number and pseudo random permutation. Then, encrypted images are compressed evaluated by the SVD method which encompasses the corresponding singular values and singular vectors. The performance evaluated on several images and the experimental results and security evaluation is given to validate the explained goals of high security and good compression performance.



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  • How to Cite

    Hatem, H., Majeed, R., & Waleed, J. (2018). A singular value decomposition based approach for the compression of encrypted images. International Journal of Engineering & Technology, 7(3), 1332-1336. https://doi.org/10.14419/ijet.v7i3.12707