Implementation of Xor and Edge Identification Method in Steganography
Permella Abishai Jasper1, D.Jayanthi2, N.Arun Vignesh3, K.G.Maheshwari4
1Permella Abishai Jasper, Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
2D.Jayanthi, Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
3N.Arun Vignesh, Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
4K.G.Maheshwari, Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 2066-2070 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13930986S319/19©BEIESP | DOI: 10.35940/ijeat.F1393.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, a novel images Teganography algorithm that combines the strengths of edge detection and XOR coding, to conceal a secret message either in the spatial domain or an Integer Wavelet Transform (IWT) based transform domain of the cover image is presented. Edge detection and XOR coding are used in to conceal the secret message. Edge detection enables the identification of sharp edges in the cover image and this when embedding results in good image quality. Edge detection method presented here is capable of estimating the exact edge intensities for both the cover and stegno images (before and after embedding the message), which is essential when extracting the message. The XOR coding, on the other hand, is a simple, yet effective, process that helps in reducing differences between the cover and stegno images. Experimental results are observed using XILINX ISE and demonstrated that the proposed method has achieved better imperceptibility results than other popular steganography methods.
Keywords: Image Steganography, Human Visual System (HVS), EDGE Detection and XOR Coding.
Scope of the Article: Probabilistic Models and Methods