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An Efficient Information Hiding Scheme with High Compression Rate


Author(s):

Sarita S. Kamble , ICOER WAGHOLI PUNE-412207; A.S. Deshpande, ICOER PUNE

Keywords:

SMVQ, Image Inpainting, Vector Quantization, Stegano-Coder, Stegano-Decoder

Abstract:

Paper presents an effective image compression and data hiding scheme with high embedding capacity for digital images utilized using side match vector quantization (SMVQ) and digital image inpainting. The two modules of image compression and data hiding can work independently. Vector quantization is utilized for upmost and leftmost blocks. Except leftmost and upmost blocks, remaining blocks are compressed by SMVQ and digital image inpainting. Covert data is embedded after compression by using stegano-coder adaptively. Covert data is extracted by stegano-decoder. Decompressed image is reconstructed by applying reverse side match vector quantization and digital image inpainting effectively. Performance of proposed method is compared with other presented methods as well as different sizes of image. Results check the compression ratio (CR), peak signal to noise ratio (PSNR) and con-structural similarity (SSIM). Con-structural similarity measures decompression quality between input image and decompressed image. The performance parameters show that proposed scheme has the satisfactory performances for CR, PSNR, SSIM and data hiding capacity.


Other Details:

Manuscript Id :IJSTEV3I4008
Published in :Volume : 3, Issue : 4
Publication Date: 01/11/2016
Page(s): 1-6
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