Two watermarking algorithms are proposed here: spread spectrum watermarking for color image based on wavelet tree structure and a blind watermarking with strong robustness based on relationship and quantization.

With the idea of wavelet zero-tree,significant wavelet trees were constructedfrom the wavelet transformed images.

Using the idea of wavelet zero-tree and masking peculiarity of human visual system,significant wavelet trees are constructed in blue components of color image of wavelet domain,then part of scrambled watermark are embedded into significant lowest frequency coefficients and the other are e.

Image fusion and performance evaluation based on tree-structured wavelet local contrast;

A blind image watermarking based on zerotree wavelet;

The feature vector is composed of wavelet texture energy features, texture features based on the gray-level co-occurrence matrix and the tone of filtered SAR image by using tree wavelet.

A method of water automatic detection for SAR images is presented,which uses tree wavelet to decompose the SAR images,obtains the medium-frequency imformation from the sample image and the test image,and analyzes the texture.

Based on an optimized perceptual model of the zero tree structure,two kinds of watermarking algorithms are proposed:one embeds a watermark of Gaussian sequence,and the blind detector is based on correlation;the other embeds a watermark of binary image,and the extractor is not blind.