An Image Watermark Algorithm Based on SVM and Structural Similarity
Liu Yi-na · IEEE Software · 2013
A watermark algorithm based on SVM and structural similarity is proposed in this paper to improve robustness of spatial domain watermark technology. Structural similarity is used to calculate the largest embedding strength for different image blocks and SVM is used to build model which was able to predict the relationship between image block and embedding strength. The proposed algorithm embeds and extracts watermark by modifying central pixel of blocks selected from image. The experimental results show that the proposed algorithm is robust enough to resist multiple watermark attack including JPEG compress, noise add and median filter.