Robust digital color image watermarking based on compressive sensing and DWT

In this paper, a powerful digital watermarking algorithm derived from compressive sensing and discrete wavelet transform to provide authentication and preserve copyright protection for color images. Initially, host color image is converted into YCbCr. Then Y “luminance image” is decomposed with wavelet transform and its low-frequency subband is selected. The watermark image is divided into non-overlapping blocks which are compressed. Finally, the compressed watermark blocks are embedded in Y. In extracting the watermark, L1 optimization algorithm is utilized. Investigated results convey that the developed algorithm has better performance, high concealment and high durability over various attacks of image.