A Novel Image Encryption Supported by Compression Using Multilevel Wavelet Transform

In this paper we propose a novel approach for image encryption supported by lossy compression using multilevel wavelet transform. We first decompose the input image using multilevel 2-D wavelet transform, and thresholding is applied on the decomposed structure to get compressed image. Then we carry out encryption by decomposing the compressed image by multi-level 2-D Haar Wavelet Transform at the maximum allowed decomposition level. These results in the decomposition vector C and the corresponding bookkeeping matrix S. The decomposition vector C is reshaped into the size of the input image. The reshaped vector is rearranged by performing permutation to produce encrypted image. The vector C and the matrix S serve as key in the process of both encryption and decryption. In this analysis, we have noticed that the reconstructed image is a close replica of the input image.

@article{Samson2012,
  title     = {A Novel Image Encryption Supported by Compression Using Multilevel Wavelet Transform},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {9},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Ch. Samson and V. U. K. Sastry},
  doi       = {10.14569/IJACSA.2012.030926},
  url       = {https://doi.org/10.14569/IJACSA.2012.030926}
}