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A Novel Joint Data-Hiding and Compression
Scheme Based on SMVQ and Image In-
painting
ANKAM MADHURI
CONQUER TECHNO SOLUTIONS
TIRUPATI
objective
• The main objective of this project reduce channel
band width and increase security in communication
networks
Abstract
• In this project we propose a data hiding and
compression scheme based on SMVQ and image in
painting.
• In this the function of data hiding and image
compression can be integrated into one single
module.
• The proposed scheme shows the performances for
compression ratio and better peak signal to noise
ratio.
Introduction
 With the rapid development of internet technology, people can
transmit and share digital content with each other
conveniently.
 In order to guarantee communication efficiency and save
network band width, compression technique can be
implemented on digital contents to reduce redundancy, and
the quality of the decompressed versions should also be
preserved.
 Now a days, most digital content, especially digital images and
videos, are converted into the compressed forms for
transmission.
Existing method
• In existing method vector quantization is provide
low peak signal to noise ratio and time complexity.
disadvantages
• Low image quality
• Information hiding survey is required high
bandwidth
• It give low PSNR
Proposed system
• In this we propose a novel joint data hiding and
image compression based on SMVQ and image in
painting.
Advantages
• Hiding capacity.
• Compression ratio.
• Reduce redundancy, and
• The quality of the decompressed versions
should also be preserved
Applications
• Save network bandwidth.
• It used in transmit and share digital contents
without loss of information.
• Transmit secret or private data securely

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A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image Inpainting

  • 1. A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image In- painting ANKAM MADHURI CONQUER TECHNO SOLUTIONS TIRUPATI
  • 2. objective • The main objective of this project reduce channel band width and increase security in communication networks
  • 3. Abstract • In this project we propose a data hiding and compression scheme based on SMVQ and image in painting. • In this the function of data hiding and image compression can be integrated into one single module. • The proposed scheme shows the performances for compression ratio and better peak signal to noise ratio.
  • 4. Introduction  With the rapid development of internet technology, people can transmit and share digital content with each other conveniently.  In order to guarantee communication efficiency and save network band width, compression technique can be implemented on digital contents to reduce redundancy, and the quality of the decompressed versions should also be preserved.  Now a days, most digital content, especially digital images and videos, are converted into the compressed forms for transmission.
  • 5. Existing method • In existing method vector quantization is provide low peak signal to noise ratio and time complexity.
  • 6. disadvantages • Low image quality • Information hiding survey is required high bandwidth • It give low PSNR
  • 7. Proposed system • In this we propose a novel joint data hiding and image compression based on SMVQ and image in painting.
  • 8. Advantages • Hiding capacity. • Compression ratio. • Reduce redundancy, and • The quality of the decompressed versions should also be preserved
  • 9. Applications • Save network bandwidth. • It used in transmit and share digital contents without loss of information. • Transmit secret or private data securely