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Hybrid Edge Detection Methods in Image Steganography for High Embedding Capacity Cover

Hybrid Edge Detection Methods in Image Steganography for High Embedding Capacity

Open Access
|Mar 2024

Abstract

In this research, we propose two new image steganography techniques focusing on increasing image-embedding capacity. The methods will encrypt and hide secret information in the edge area. We utilized two hybrid methods for the edge detection of the images. The first method combines the Laplacian of Gaussian (LoG) with the wavelet transform algorithm and the second method mixes the LOG and Canny. The Combining was performed using addWeighted. The text message will be encrypted using the GIFT cipher method for further security and low computation. For the effectiveness evaluation of the proposed method, various evaluation metrics were used such as embedding capacity, PSNR, MSE, and SSIM. The obtained results indicate that the proposed method has a greater embedding capacity in comparison with other methods, while still maintaining high levels of imperceptibility in the cover image.

DOI: https://doi.org/10.2478/cait-2024-0009 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 157 - 170
Submitted on: Nov 29, 2023
Accepted on: Feb 7, 2024
Published on: Mar 23, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Marwah Habiban, Fatima R. Hamade, Nadia A. Mohsin, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.