MATLAB CODE FOR DATA HIDING AND COMPRESSION

DATA-HIDING AND COMPRESSION SCHEME 

               

                       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.

                                                   

                                                Fig.Original and Encrypted image

                    (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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