Digital Watermarking of Color Images Using Support Vector Machines

Abstract

In this paper, a novel digital watermarking technique based on support vector machines (SVMs) is proposed to protect copyrights for color images. The proposed technique can be called SVM-based Color Image Watermarking (SCIW). The SVM can be trained for an optimal hyperplane from the given training patterns composed of the preamble information and the corresponding watermarked color image. Due to the adaptability of SVMs, the SCIW method is developed to retrieve the user’s signature. During the procedure of watermark retrieving, the user’s signature can be retrieved directly from a watermarked color image without information on the corresponding original color image. Numerous experimental results are shown to prove that the SCIW method possesses robustness and generalization against common image manipulations