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

Pooja Malhari Patil; Dr. V. R. Udupi; Prof. K. N. Subrahmanya

CALL FOR PAPERS : Dec-2023

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25-Dec-23

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

Author(s):

Pooja Malhari Patil , GOGTE INSTITUTE OF TECHNOLOGY; Dr. V. R. Udupi, Gogte Institute of Technology; Prof. K. N. Subrahmanya

Keywords:

Image Compression, Side Match Vector Quantization (SMVQ), Data Hiding, Image In Painting

Abstract:

In this paper, we propose a joint data-hiding and compression scheme for the images using the compression method that is side match vector quantization (SMVQ) and image in painting. Here we are going to use two functions as data hiding and image compression can be integrated into one module. Then on the sender side, except for the blocks which are in the leftmost and topmost of image, and then by raster scanning each residual block is being embedded with the compress simultaneously by the SMVQ and in painting image and according to current bit. And the VQ that is vector quantization is done only for the complex block that it controls the distortion and diffusion error which causes by compression. Then at receiver side, after segmenting the image which was having compressed codes into the section of series by bits of indicator, so at the receiver it achieves the decompression and extraction the secret bits successful that is by the process of index value used in section of segmentation. The results will demonstrate the propose scheme.