We
propose a novel joint data-hiding and compression scheme for digital images
using side match vector quantization SMVQ) and image inpainting. The two functions
of data hiding and image compression can be integrated into one single module
seamlessly. On 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 inpainting adaptively according to the current embedding bit. Vector
quantization 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.
(SMVQ)
was designed as an improved version of VQ, in which both the codebook and the
sub codebooks are used to generate the index values, excluding the blocks in
the leftmost column and the topmost row.
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