Abstract:  Due to the Irreversible process of scrambling and extraction process, the hidden information of digital media video image information can not be completely recovered in the extraction process, resulting in information loss or error, and reducing the effectiveness of the hiding algorithm. To solve this problem, a digital media video image information hiding algorithm based on reference frames is proposed. Firstly, the NLEMD(Neighborhood Limited Empirical Mode Decomposition) algorithm is used to enhance digital media video images and improve video image quality. Secondly, the Arnold transform scrambling method is used to perform scrambling transformation on the enhanced image, completing the preprocessing of information hiding. Finally, the scrambled digital media video image information is hidden through an information hiding algorithm based on reference frames. The experimental results show that the proposed method can improve the peak signal-to-noise ratio of digital media video images, reduce the time required for embedding and extracting hidden information,and achieve high accuracy in information extraction.

Key words: reference frame, information hiding, neighborhood limited empirical mode decomposition(NLEMD)algorithm, scrambling transformation