Robust Blind Image Watermarking Based on Multi-wavelet Transform and Singular Value Decomposition

Digital watermarking is a technique for copyright protection of multimedia products such as digital images, which embeds a watermark into a host image. The main challenge in image watermarking is the development of new robust methods against different attacks. This paper presents a robust blind watermarking scheme based on multiwavelet transform (MWT) and singular value decomposition (SVD). By performing MWT on the host image, it was decomposed into four sub-bands and then a gray scale watermark image was embedded directly in the singular values of the low-frequency sub-band of the host image. Since the extraction of watermark was done in the absence of original image, hence the blind scheme was achieved. Experimental results on benchmark images show that the proposed scheme has a high transparency and is robust against various attacks.