Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.030926
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 9, 2012.
Abstract: 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.
Ch. Samson and V. U. K. Sastry, “A Novel Image Encryption Supported by Compression Using Multilevel Wavelet Transform” International Journal of Advanced Computer Science and Applications(IJACSA), 3(9), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030926