DWT and SVD based Watermarking Scheme with Circulation

Abstract

The major application for watermark is protecting intellectual property rights. In this paper, a watermark scheme with circulation, based on non-overlapping discrete wavelet transform (DWT) and singular value decomposition (SVD), is presented. First, the original host image and watermark image are divided into non-overlapping blocks, respectively and to the former DWT and SVD is applied. Second, the scrambling watermark by Chebyshev chaotic map is embedded into the singular value matrix of original components with circulation. Extracting any consecutive four rows and columns from the blocked watermarked image can get complete watermark information. The quantity of embedded watermark information is large and the original image is not needed for watermark extracting. Both theoretical analysis and experimental results indicate that the proposed method can very effectively resist large degree of geometric attacks and compound attacks, and it is also strongly robust against common image processing attacks.