Joint Data Hiding and Compression Scheme Based on Smvq and Image Inpainting

نویسندگان

  • Sagar M. Shinde
  • K. R. Desai
چکیده

The joint data-hiding and compression scheme for digital images technique is carried out using the sidematch vector quantization and image inpainting techniques. Data hiding and image compression are integrated into one single module. At the sender side, the blocks in the leftmost and topmost of the image are by default considered as complex blocks and are compressed using VQ technique and the other residual blocks can be embedded with secret data and compressed simultaneously in raster-scanning order by SMVQ or image inpainting adaptively. This is done according to the current embedding bit. The progressive compression may cause visual distortion and error diffusion. This can be controlled by using vector quantization (VQ) for some complex blocks. The indicator bits segment the image-compressed codes into a series of sections. After this, the receiver can extract the secret bits and decompress the image successfully. This can be done on the basis of the index values that are present in the

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تاریخ انتشار 2015