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The rapid development of internet and social media has driven the great requirement for information sharing and intelligent property protection. Therefore, reversible information embedding theory has marked some approaches for information security. Assuming reversibility, the original and embedded data must be completely restored. In this paper, a high-capacity and multilayer reversible information hiding technique for digital images was presented. First, the integer Haar wavelet transform scheme converted the cover image from the spatial into the frequency domain that was used. Furthermore, we applied dynamic threshold analysis, the parameters of the predicted model, the location map, and the multilayer embedding method to improve the quality of the stego image and restore the cover image. In comparison with current algorithms, the proposed algorithm often had better embedding capacity versus image quality performance.

Recently, most methods of data hiding focused on perfect embedding. On the contrary, the watermarking techniques concentrated on better extraction. In this paper, the schemes of reversible data hiding and watermarking extraction are combined for color images watermarking. As a result, an improved Prediction-error (PE) watermark embedding based on Integer Haar Discrete Wavelet Transform (IHDWT) is proposed. During the extraction stage, two-dimensional Principal Component Analysis (2DPCA) is applied for blind watermark extraction. The experimental results have shown that our method can embed and extract the watermark accurately and can still resist against various attacks efficiently.