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A High-Capacity Data Hiding Algorithm Based on Switching and Matrix Encoding Techniques

Sunita Waykole; Deepa Indrawal; Dr. Archana Sharma
In this paper, we present a novel high-capacity data hiding algorithm that would address the need of secured communication over un-encrypted communication channels for digital images. The proposed framework investigates the spatial redundancy within the images and embeds the information using matrix based adaptive switching data hiding. The proposed system could be easily extended to other digital media (such as audio & video).In brief the proposed system incorporates localized and inherent image features based on redundancy of range to determine the capacity of each pixel within the neighborhood. Matrix encoding is employed over the pixels in a specific manner that embedding capacity of each pixel is attained. In addition, the proposed algorithm is blind data hiding technique i.e. the receiver retrieves the stego information without any reference and information regarding the original cover image. The simulation results would reveal that the visual artifacts of stego image are conserved with respect to the cover image. In addition, the proposed system offers significant immunity to common statistical attacks as statistics of original and stego image are nearly similar.
Select Volume / Issues:
Year:
2019
Type of Publication:
Article
Keywords:
Switching Technique; Matrix Encoding; Steganographical; Data Hiding
Journal:
IJECCE
Volume:
10
Number:
4
Pages:
175-182
Month:
July
ISSN:
2249-071X
Hits: 324

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