Introduction - If you have any usage issues, please Google them yourself
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. Experimental results demonstrate the effectiveness of
the proposed scheme.