Gulve Avinash K

Work place: MCA Government College of Engineering, Aurangabad, Maharashtra, India. 431 005

E-mail: akgulve@yahoo.com

Website:

Research Interests: Image Compression, Image Manipulation, Image Processing

Biography

Gulve Avinash K., male, Associate Professor. His areas of interest are steganography and image
processing.

Author Articles
A High Capacity Secured Image Steganography Method with Five Pixel Pair Differencing and LSB Substitution

By Gulve Avinash K Joshi Madhuri S

DOI: https://doi.org/10.5815/ijigsp.2015.05.08, Pub. Date: 8 Apr. 2015

Most of the steganography techniques, based on pixel value difference, use the difference between the pixel values to hide the information. In this paper, an algorithm is proposed which combines the LSB and PVD steganography techniques to provide high data hiding capacity with acceptable stego image quality. Instead of using the original difference to hide the information, the difference is revised before it is used for hiding the information. This introduces an additional layer of security for the secret information. The algorithm divides the cover image in the blocks of 2x3 pixels. One of the pixels in the block is used as common pixel, which forms five pixel pairs with remaining five pixels in the block. The algorithm hides three secret bits in the common pixel using the LSB substitution method and then use the PVD based approach to hide data in five pixel pairs in each block. The algorithm determines the average (N) of the number of bits that can be hidden in the block. If the difference value allows M-bits to be hidden in the pair, then bits ≤ N are hidden in that pair. The result shows that the algorithm provides higher hiding capacity with better PSNR values as compared to other methods investigated in this study.

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An Image Steganography Algorithm with Five Pixel Pair Differencing and Gray Code Conversion

By Gulve Avinash K Joshi Madhuri S

DOI: https://doi.org/10.5815/ijigsp.2014.03.02, Pub. Date: 8 Feb. 2014

Steganography involves hiding information in another media. PVD based steganography techniques uses the difference between the pixel values of a pair directly to hide the information. The proposed steganography system modifies the difference value before being used for hiding the information. This makes extraction of hidden data harder in case the steganography system fails. The algorithm divides the cover image in the block of 2 x 3 pixels and calculates average (N) of the bits that can be hidden in five pairs of that block. Thus if the difference value allows M-bits to be hidden in the pair, then only N-bits are hidden in that pair when M >N otherwise M (if M≤N) bits are hidden in that pair. Second level of security is added by converting the secret information into gray code before embedding it in the cover image. The algorithm provides good hiding capacity and improved quality of stego image with two levels of security for the secret information.

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