Data hiding is a technique by which secret data can be delivered securely by embedding it into a cover multimedia document. In this paper, a high capacity data hiding scheme based on block classification is proposed for binary images. In the proposed scheme, the block classification process determines complex regions in the image used for embedding secret data. For each block in the complex region of the image, some secret bits are embedded by lightly modifying few pixels to minimize an embedding distortion. On the receiver side, the secret bits can be then extracted without requiring the original image. Experimental results demonstrated that the proposed scheme obtained a high embedding capacity while maintaining a low distortion. In addition, when compared with previous schemes for binary images, the proposed scheme improved the embedding capacity significantly with the same level of embedding distortion.

Data hiding is a technique that allows secret data to be delivered securely by embedding the data into cover digital media. In this paper, we propose a new data hiding algorithm for H.264/advanced video coding (AVC) of video sequences with high embedding capacity. In the proposed scheme, to embed secret data into the quantized discrete cosine transform (QDCT) coefficients of frames without any intraframe distortion drift, some embeddable coefficient pairs are selected in each block, and they are divided into two different groups, i.e., the embedding group and the averting group. The embedding group is used to carry the secret data, and the averting group is used to prevent distortion drift in the adjacent blocks. The experimental results show that the proposed scheme can avoid intraframe distortion drift and guarantee low distortion of video sequences. In addition, the proposed scheme provides enhanced embedding capacity compared to previous schemes. Moreover, the embedded secret data can be extracted completely without the requirement of the original secret data.