High Capacity Image Steganography Using Curvelet Transform and Bit Plane Slicing

Sheshang D. Degadwala, Amit R. Thakkar, Rikin J. Nayak

Abstract


In order to protect copyrighted material from illegal duplication, two typical technologies have been developed. Key-based cryptographic
techniques and Steganography which enable the appropriate security during the transmission process. The science and art of hiding information in
unremarkable cover media is steganography so as not to arose an eavesdropper’s suspicion. Steganography is an application under information
security field. Steganography is Classified by having set of measures that rely on strengths attacks that are driven by weaknesses and uncertainty.
Now a days, computer and network technologies provide easy-to-use communication channels for Steganography . The curvelet transform is a
multiscale directional transform that allows an almost optimal non-adaptive sparse representation of the object with edges. Bit plane slicing technique
is used for data compression where the original image is sliced in to 8 planes. Steam cipher RC4 algorithm is used for hiding the message. The
effectiveness of the proposed methods has been estimated by computing Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The aim
to propose work is to make existence of image stegangoraphy technique based on curvelet transform provide acceptable levels of imperceptibility
and distortion in the cover image and high level of overall security.

Keywords: Steganography, security, RC4, curvelet transform, cryptography, Bit Plane Slicing.


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DOI: https://doi.org/10.26483/ijarcs.v4i4.1610

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