Steganography is used to hide a secret message within a cover image, thereby yielding a stego image such that even the trace of the presence of secret information is wiped out. The purpose of steganography is to maintain secret communication between two users. Steganography has several technical challenges namely high hiding capacity and imperceptibility. In this paper we propose a modern steganographic technique with Integer Wavelet transform (IWT) and double key to achieve high hiding capacity, high security and good visual quality. Here cover image is converted in to wavelet transform co-efficients and the coefficients are selected randomly by using Key-1 for embedding the data. Key-2 is used to calculate the number of bits to be embedded in the randomly selected coefficients. Finally the Optimum Pixel Adjustment Process (OPAP) is applied to the stego image to reduce the data embedding error. © 2011 IEEE.

Thanikaiselvan V

Department of Communication Engineering

School of Electronics Engineering

Vellore Campus

Arulmozhivarman P

Department of Instrumentation

School of Electrical Engineering

Amirtharajan R

Balaguru Rayappan J.B.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Wave (let) decide choosy pixel embedding for stego

2011 International Conference on Computer, Communication and Electrical Technology (ICCCET)

Data hiding in multimedia systems is a ubiquitous practice encouraging secret communication of highly confidential information among different parties. To accomplish such a task, a steganographic system is to be realized. Adding to the plethora of algorithms designed to hide secret data in images, a new data hiding scheme based on Energy and Cost of the Image has been proposed. Energy of an image describes the relationship between adjacent pixels which is based on its potential. Offshoots of Dynamic Programming are used to estimate the cost of the image and further random traversal is employed to select the pixels in which data is to be embedded. The information in the form of bits is embedded in each of the selected pixel in a predefined manner. The mean square error and peak signal to noise ratio has also been calculated along with structural similarity index to assess the quality of the cover and the obtained stego image. The final results show a remarkable improvement over some of the existing methods in terms of payload capacity, robustness, fidelity and the metrics calculated. With minimum computational time a robust steganography scheme is achieved. © 2015 IEEE.

2015 International Conference on Computing and Network Communications (CoCoNet)

Randomly hiding secret data using dynamic programming for image steganography

A method is presented to hide data within an medical image for the real time application using the Integer Wavelength Transform (IWT) technique in the transform domain with the help of steganography. IWT is an image compression technique wherein the output is in the form of integers thus consuming less memory space. Steganography is done intelligently such that it is difficult for an adversary to detect the existence of a hidden message in the otherwise innocuous data. This united with integer wavelet transform allows high quality data hiding and image compression. To transmit many such images over a network, sometimes over low-capacity phone lines to remote sites, or to store large numbers of images over a long period of time as part of the medical records for patients, the need for image compression arises to alleviate these large demands for image data storage and transmission capacity. The secret information is hidden in cover image using IWT implementation which has been coded in C language to ensure easy realization in real-time applications. The PSNR and execution time for the different images using IWT technique have been computed. © 2014 IEEE.

2014 IEEE International Conference on Computational Intelligence and Computing Research

Real-time implementation of steganography in medical images using integer wavelet transform

Steganography conceals the secret information inside the cover medium. There are two types of steganography techniques available practically. They are spatial domain steganography and Transform domain steganography. The objectives to be considered in the steganography methods are high capacity, imperceptibility and robustness. In this paper, a Color image steganography in transform domain is proposed. Reversible Integer Haar wavelet transform is applied to the R, G and B planes separately and the data is embedded in a random manner. Random selection of wavelet coefficients is based on the graph theory. This proposed system uses three different keys for embedding and extraction of the secret data, where key1(Subband Selection - SB) is used to select the Wavelet subband for embedding, key2(Selection of Co-effecients-SC) is used to select the co-efficients randomly and key3 (Selection of Bit length-SB) is used to select the number of bits to be embedded in the selected co-efficients. This method shows good imperceptibility, High capacity and Robustness. © 2013 IEEE.

2013 IEEE International Conference on Signal and Image Processing Applications

High security image steganography using IWT and graph theory

Modern day information age is enriched with the advanced network communication expertise but unfortunately at the same time encounters infinite security issues when dealing with secret and/or private information. The storage and transmission of the secret information become highly essential and have led to a deluge of research in this field. In this paper, an optimistic effort has been taken to combine graceful graph along with integer wavelet transform (IWT) to implement random image steganography for secure communication. The implementation part begins with the conversion of cover image into wavelet coefficients through IWT and is followed by embedding secret image in the randomly selected coefficients through graph theory. Finally stegoimage is obtained by applying inverse IWT. This method provides a maximum of 44 dB peak signal to noise ratio (PSNR) for 266646 bits. Thus, the proposed method gives high imperceptibility through high PSNR value and high embedding capacity in the cover image due to adaptive embedding scheme and high robustness against blind attack through graph theoretic random selection of coefficients.

Fulltext

The Scientific World Journal

A Graph Theory Practice on Transformed Image: A Random Image Steganography

With the growing internet technology, science and requirement of concealing defense research work, there is a need for highly secured information exchange, which is the essence of steganography. Classic secret information could be undermined or even faked thereby, creating a menace to the core of secrecy. Steganography camouflages the hidden information into an unsuspicious digital file i.e. image, video or audio, thereby covering the existence of it. Using modified LSB substitution and readjustment procedure the mean square error has been reduced. Pixel indicator is used for increasing the embedding capacity of secret data. The security of secret data embedded into a cover file can be increased using random walk inside the file. In this paper we have used knight's tour for random walk, by not affecting the image quality. For high security while embedding, we randomize the three planes of RGB cover image using row vector, divide the image into four pixel blocks and then use Pixel value differencing (PVD) to embed data adaptively followed by knight's tour to select next block for embedding. This method gives highly secured and high capacity steganography.

Journal	Data powered by Typeset2011 International Conference on Computer, Communication and Electrical Technology (ICCCET)
Publisher	Data powered by TypesetIEEE
Open Access	0