An Adaptive Watermarking Scheme Utilizing Support Vector Machine for Synchronization

Through the classification of image's brightness,texture and contrast sensitivity,watermark is adaptively embedded in DWT domain.In order to register rotation,scale and translation(RST) transform parameters,support vector machine is utilized to learn image geometric pattern represented by six combined low order image moments.The watermark extraction is carried out after watermarked image has been synchronized without original image.The experiments show that it can embed more robust watermark under certain visual distance,(effectively) resist JPEG compression,noise and geometric attacks.