A robust image watermarking technique for JPEG images using QuadTrees

In this paper, we propose a robust watermarking technique that embeds a Gaussian sequence watermarks into low frequency area of the wavelet transform domain. We overcome between the image degradation problem and the watermark robustness by embedding watermarks into visually insensitive pixels using QuadTrees. We determined embedding pixels according to the picked 1 by 1 block in a sparse metrics which is decomposition DWT low band. Decomposed Sparse matrix areas must not degrade after JPEG compression. We compare our experimental results with respect to JPEG compression with Cox's and Joo's popular correlation-based method. The experimental results show that the proposed algorithm successfully survives several kinds of image processing operations especially for JPEG lossy compression.