Watermarking Embedding Algorithm for Archive Image Based on Image Normalization and Principal Component Analysis

In this paper, an algorithm that embed watermarking into archive image based on image normalization and PCA is proposed, which is based on image normalization and invariant centroid theory. For the purpose of enhancing the invisibility and resistance to geometric attack of watermarking, we first encrypt the watermarking with chaotic method before information embedding, and then eliminate the effect of geometric change to archive image by utilizing image normalization. Finally, PCA was applied to embed the watermarking in subspace. Corresponding, we perform inverse transform to the archive image which is attacked by geometric transformation before extracting the watermarking. Thus, we can prove the truth of the attacked archive image by the extracted watermarking which is recognizable.