Content Based Hybrid Dwt-Dct Watermarking For Image Authentication in Color Images

–The present work relates to a novel content based image authentication frame work. Here we take statistical based four methods for creating watermark. All these methods embed that statistical feature into the host image. In first method, Frobenius Norm of the host image is taken as watermark using ICA technique. The other methods used to create watermarks are namely, mean, standard deviation and combined mean and standard deviation of the host image. This hybrid method combines DCT and DWT to hide the watermark, so that imperceptibility will be maintained. The same statistical features are extracted as feature set which is embedded in the host image during embedding phase. In the watermark retrieval process, content modification is identified by correlation method with predefined threshold. The experimental results demonstrate that newly proposed DWT-DCT hybrid watermark embedding algorithm with HSV is robust for Compression, noise and other attacks. Keywords––Discrete Cosine Transform, Discrete Wavelet Transform, Independent Component Analysis, Frobenius Norm, Human Visual System.