DICTIONARY-BASED DATA HIDING USING IMAGE HASHING STRATEGY

This paper proposes a novel data hiding framework based on image hashing strategy. First, the best-matching blocks for each cover image block are searched in the existing database, which can be generated by the codebook of vector quantization technique. Then, a dictionary consisting of different versions for each cover block is constructed by a set of content-preserving manipulations, and each version is assigned with a unique binary representation. According to the secret data hidden for each block, corresponding versions of the block in the dictionary are chosen to substitute the cover block and form the stego image. Due to the properties of robustness and anti-collision of image hashing, the secret data can be extracted correctly by comparing the stego block with the blocks in the reconstructed dictionary. The experimental results show the effectiveness and flexibility of the proposed framework.