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Acceleration of LSB Algorithm in GPU

Darshan R, Prabu R, Divya M
Department of Information Technology, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India
International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 5 (3, 2865-2867), 2014

@article{darshan2014acceleration,

   title={Acceleration of LSB Algorithm in GPU},

   author={Darshan, R and Prabu, R and Divya, M},

   year={2014}

}

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This paper presents a method for acceleration of LSB (Least Significant Bit) Algorithm in GPU (Graphics Processing Unit) using a programming model called CUDA. CUDA is a state-of-the-art parallel computing architecture developed by nVIDIA. CUDA allows the programmers to access the GPU directly by invoking the Kernel. In Image Steganography, parallelization of computations to a single pixel and the hybrid mix of message passing and shared memory access routines allows us to accelerate the LSB algorithm and thereby reducing the runtime of the program.
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