Digital Watermarking Using Discrete Wavelet Transform and Eigen Decomposition

In this paper, discrete wavelet transform (DWT) is applied on an RGB image and then eigen decomposition is done on original L-L (low-low) components. Similar operation is done on a watermark image. Then two unitary and one diagonal matrices are combined to form a digital watermarked image applying inverse discrete wavelet transform (IDWT). The diagonal component of original image is transmitted through secured channel. At the receiver end, the watermark image is recovered using the watermarked image and diagonal component of the original image. Finally, we compare the original and recovered image and got perfect cross-correlation. We also compare the model of the paper with three previous works in context of processing time and cross-correlation under noisy environment and found better results.