High payload image steganography based on Laplacian of Gaussian (LoG) edge detector
- PDF / 1,003,372 Bytes
- 16 Pages / 439.37 x 666.142 pts Page_size
- 99 Downloads / 202 Views
High payload image steganography based on Laplacian of Gaussian (LoG) edge detector S. K. Ghosal 1 & J. K. Mandal 2 & R. Sarkar 3
Received: 28 August 2017 / Revised: 3 March 2018 / Accepted: 9 May 2018 # Springer Science+Business Media, LLC, part of Springer Nature 2018
Abstract Image Steganography is the method of concealing secret information into the digital image, and LSB replacement policy is recognized as the foremost and widely used approach. In traditional LSB based scheme, the secret bits are fabricated into the LSB position of each pixel without making a prior analysis of the image contents. As a consequence, the visual quality as well as the security of the stego-image becomes a concern even to achieve a low embedding rate. In this paper, the embedding of secret data has been made by classifying the pixels of the cover image into following two categories: edge and non-edge. This classification is made by applying the Laplacian of Gaussian (LoG) edge detector over the gray-scale images. It has been observed that the non-edge pixels get affected severely compared to edge pixels at higher embedding rate and therefore, more bits are embedded in edge pixels rather than in the nonedge pixels. The disadvantage of existing edge detection based Steganography schemes is the embedding of (extra) edge information besides the actual embedding. Unlikely, the proposed scheme proficiently avoids the burden of embedding of extra edge information and utilizes the embedding space fully. Experimental results ensure that the proposed scheme achieves higher payload and better stego-image quality compared to existing schemes. Keywords Steganography . Edge Detction . Laplacian of Gaussian . Payload . PSNR
* S. K. Ghosal [email protected]
1
Department of Computer Science & Engineering, Future Institute of Technology, 240, Boral Main Road, Kolkata 7000154, India
2
Department of Computer Science & Engineering, University of Kalyani, Kalyani, Dist-, Nadia 741235, India
3
Department of Computer Science & Engineering, Jadavpur University, Kolkata 700032, India
Multimed Tools Appl
1 Introduction Rapid advancement of digitized information (i.e., multimedia data) sharing over the internet is the foremost achievement of communication technology in the recent decades. However, the confidentiality and privacy of this transmitted information over the shared channel put a question mark on its reliability and therefore, the information security has become one of the most challenging research areas in the field of Computer and Information Sciences. Two trusted solutions of information sharing over the largest global network are: Cryptography and Steganography. Cryptography improves the security of secret information by scrambling it based on a symmetric/asymmetric key. But, the major drawback of cryptography is that it pays suspicious attention to the unauthorized intruders. Unlikely, steganography does not attract the attention of the intruders as the secret information is imperceptibly concealed into the cover media. The m
Data Loading...
