Atta, R and Ghanbari, M (2018) A High Payload Steganography Mechanism Based on Wavelet Packet Transformation and Neutrosophic Set. Journal of Visual Communication and Image Representation, 53. pp. 42-54. DOI https://doi.org/10.1016/j.jvcir.2018.03.009
Atta, R and Ghanbari, M (2018) A High Payload Steganography Mechanism Based on Wavelet Packet Transformation and Neutrosophic Set. Journal of Visual Communication and Image Representation, 53. pp. 42-54. DOI https://doi.org/10.1016/j.jvcir.2018.03.009
Atta, R and Ghanbari, M (2018) A High Payload Steganography Mechanism Based on Wavelet Packet Transformation and Neutrosophic Set. Journal of Visual Communication and Image Representation, 53. pp. 42-54. DOI https://doi.org/10.1016/j.jvcir.2018.03.009
Abstract
In this paper a steganographic method is proposed to improve the capacity of the hidden secret data and to provide an imperceptible stego-image quality. The proposed steganography algorithm is based on the wavelet packet decomposition (WPD) and neutrosophic set. First, an original image is decomposed into wavelet packet coefficients. Second, the generalized parent-child relationships of spatial orientation trees for wavelet packet decomposition are established among the wavelet packet subbands. An edge detector based on the neutrosophic set named (NSED) is then introduced and applied on a number of subbands. This leads to classify each wavelet packet tree into edge/non-edge tree to embed more secret bits into the coefficients in the edge tree than those in the non-edge tree. The embedding is done based on the least significant bit substitution scheme. Experimental results demonstrate that the proposed method achieves higher embedding capacity with better imperceptibility compared to the published steganographic methods.
Item Type: | Article |
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Uncontrolled Keywords: | Image Steganography; Wavelet Packet Transformation; Neutrosophic Set; Edge Detection |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Mar 2018 16:46 |
Last Modified: | 30 Oct 2024 17:05 |
URI: | http://repository.essex.ac.uk/id/eprint/21668 |
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