Optimal wavelet transform using Oppositional Grey Wolf Optimization for video steganography

Data hiding in video is a method used to hide secret information within the video which is useful for secure multimedia data communication. The main goal of any video steganographic system is to reduce distortion of video and to secure the embedded data. A novel approach of hiding data using Oppositional Grey Wolf Optimization (OGWO) is proposed to minimize distortion and to enhance security so as to get superior video quality. In this work, scene changes are used to identify the key frames to hide the secret data. The scene changes are detected using Discrete Cosine Transform (DCT). Once the key frames are detected, OGWO is used at this stage to select the optimal region to embed the secret data. Lastly, the optimal region for entrenching is construed to embed the secret data using Discrete Wavelet Transform (DWT). Then, the payload and video are normalized using Inverse DWT to boost the video quality. The performance of the proposed system is measured using Peak Signal to Noise Ratio (PSNR), Embedding Capacity and Normalized Correlation (NC). The comparison results show that the proposed method delivers more security and minimizes distortions for improved video quality.