alexa A Contemporary Secure Data Scheme Based on Image in painting and Side Match Vector Quantization (SMVQ)
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
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Research Article

A Contemporary Secure Data Scheme Based on Image in painting and Side Match Vector Quantization (SMVQ)

K.Sridevi1 and V.R.Anitha2
  1. M.Tech Student, Dept of Electronics & Communication Engineering, Sri Vidyanikethan Engineering College, Tirupati, India
  2. Professor, Dept of Electronics & Communication Engineering, Sri Vidyanikethan Engineering College, Tirupati, India
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Abstract

Data hiding and image compression techniques can be integrated into one single module seamlessly to transfer the image information securely. Data Hiding involves embedding significant data into various forms of digital media such as text audio image and video, this data is encrypted and then transferred. Image in painting technique is used to fill the missing areas or modifying the damaged regions of the received image. The project explains novel joint data-hiding and compression scheme for digital images using side match vector quantization (SMVQ) and image edge based Harmonic in painting. Before transmitting, the image is divided into many blocks. At the sender side, except for the blocks in the leftmost and topmost of the image, each of the other residual blocks in raster-scanning order can be embedded with secret data and compressed simultaneously by SMVQ or image in painting adaptively according to the current embedding bit. Vector Quantization (VQ) is also utilized for some complex blocks to control the visual distortion and error diffusion caused by the progressive compression. After segmenting the image compressed codes into a series of sections by the indicator bits, the receiver can achieve the extraction of secret bits and image decompression successfully according to the index values in the segmented sections.

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