Novel DCT and DST based video steganography algorithms over non-dynamic region in compressed domain: a comparative analysis

The proposed research work presents a comparative analysis of Discrete Cosine Transform (DCT) and Discrete Sine Transform (DST) based video steganography in compressed domain. In this method, the random numbered secret frames are selected from the sequence of RGB cover video. This method increases the complexity level of video steganography by considering the specific host to conceal secret data. It extracts the specific non-dynamic region from secret frame, transforms the pixel value of non-dynamic region into frequency domain using transform coefficient DCT or DST. The random Least Significant Bit (LSB) of integer component of DCT and DST is used as a carrier object that leads to good video quality and secret data-carrying capacity. Furthermore, the secure compressed stego video is reconstructed by using H.264 video compression technique facilitates communication over the network channel between sender and receiver. The proposed method has been experimented on some well-known video datasets by considering RGB images with different resolutions as a secret message. The efficiency of proposed video steganography method is evaluated by performance evaluation parameters; imperceptibility, robustness, and embedding capacity and the improved results of proposed method have been compared with reported methodologies. © 2021, Bharati Vidyapeeth's Institute of Computer Applications and Management.