A Secure Blind Image Steganography Method Based On Joint LWT-DCT Transformation Using Lattice Vector Quantization

Steganography is the art of hiding sensitive data within a cover image, audio, or text. Impairments of the human visual perception helps the sensitive data become undetectable. Lattice vector quantization is an efficient compression tool. In this paper a new steganography algorithm has been proposed based on lattice vector quantization and Joint LWT-DCT Transformation that embedding in certain coefficient sets of a 3-level lifting wavelet transform of a host image. Then, DCT transform of each selected LWT sub-band is computed and the important data bits are embedded in the middle frequencies coefficients of the corresponding DCT block with using lattice vector quantization. As a result, greatly reduces the likelihood of success of mining hidden.In this method, we make appropriate level of security by using error correction coding Reed-Solomon (63,11) and the results show high security for data hiding while image quality is accepted.