  With the growth of digital networks such as the Internet, digital media have
been explosively developed in e-commerce and online services. This causes
problems such as illegal copy and fake ownership. Watermarking is proposed as
one of the solutions to such cases. Among different watermarking techniques,
the wavelet transform has been used more because of its good ability in
modeling the human visual system. Recently, Shearlet transform as an extension
of Wavelet transform which is based on multi-resolution and multi-directional
analysis is introduced. The most important feature of this transform is the
appropriate representation of image edges. In this paper a hybrid scheme using
Discrete Wavelet Transform (DWT) and Discrete Shearlet Transform (DST) is
presented. In this way, the host image is decomposed using DWT, and then its
low frequency sub-band is decomposed by DST. After that, the bidiagonal
singular value decomposition (BSVD) is applied on the selected sub-band from
Shearlet transform and the gray-scale watermark image is embedded into its
bidiagonal singular values. The proposed method is examined on the images with
different textures and resistance is evaluated against various attacks like
image processing and geometric attacks. The results show good transparency and
high robustness in proposed method.
