Optimization on digital watermarking algorithm based on SVD-DWT

Traditional digital watermarking algorithm based on DWT generally embedded in high frequency watermarks; these bands of wavelet coefficients are generally lower and they are vulnerable when attacked by different kinds of pictures so that they are difficult to deal with some strong attacks against algorithms such as damage to compression, filtering and so on. It results in that the robustness of algorithm always can´t satisfy the requirements of practical application. The part of low-frequency after using Wavelet Transformation embeds in watermark information can improve the robustness of digital watermarking preferable by analysis. Under the condition that the amount of information in digital watermarking getting smaller, optimizing the image of Arnold scrambling algorithm, using it in to encrypts digital watermarking images, combining with the characteristics of singular value decomposition and processing the singular decomposition of wavelet transform image can enhance the digital watermark invisibility and robustness effectively.