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“Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning” has been added to your cart. View cart
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Home Mini Projects VLSI FPGA Implementation of Image Steganography Algorithms using Generalized Exploiting Modification Direction and Pixel Segmentation Strategy
Design of Adiabatic Quantum-Flux-Parametron Register Files using a Top-Down Design Flow1
Design of Adiabatic Quantum-Flux-Parametron Register Files using a Top-Down Design Flow ₹4,000.00
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RingNet- A Memory-Oriented Network-On-Chip
RingNet: A Memory-Oriented Network-On-Chip ₹4,000.00

FPGA Implementation of Image Steganography Algorithms using Generalized Exploiting Modification Direction and Pixel Segmentation Strategy

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SKU: VLSI - Self Repairing Technology Categories: Mini Projects, VLSI Tags: Mini Projects, VLSI
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Description

 

Synopsis:

             The generalized exploiting modification direction (GEMD) steganography algorithm is an enhancement of the exploiting modification direction (EMD) algorithm to hide a high payload capacity with maintaining the quality of the stego-image. In proposed system we developed a GEMD image steganography algorithm based on PSS-IB. The spatial domain techniques such as LSB based approach, EMD based approaches and Pixel Value Differencing (PVD) based approaches. The transform domain techniques, such as DCT, DWT and IWT The proposed algorithms have an embedding rate 3 x 0.5 xLVMA which is greater than R = 3 x (n + 1)/n of the GEMD method.

 

PROPOSED SYSTEM:

              In proposed system we developed a GEMD image steganography algorithm based on PSS-IB. The stego-image quality and the embedding payload capacity are two important parameters for steganography algorithms. The proposed algorithms have an embedding rate 3 x 0.5 xLVMA which is greater than R = 3 x (n + 1)/n of the GEMD method.

 

MERITS OF PROPOSED SYSTEM:

  •         Less computational complexity
  •         High embedding payload capacity

 

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