A new watermarking method based on chaotic mixing and SVD

Abstract

A new binary watermark embedding method is proposed in this paper based on chaotic mixing and singular value decomposition (SVD) for copyright protection and authenticity. We used the chaotic mixing to mix binary watermark image and SVD transformation to extract the left orthogonal matrix of host image at the same time. Other than traditional watermarking algorithms based on SVD, the binary watermark bits are embedded in the left orthogonal matrix instead of the singular values (SVs) of the host image's sub-blocks, because the orthogonal matrices contain the texture and detail information of the host image, while the SVs only contain the energy information of host image. This greatly enhances the safety of watermark because the SVs can be easily replaced without much damage to the host image, whereas the orthogonal matrix cannot. Compared with another watermarking method based on modifying the orthogonal matrix, our method maintains the orthogonality of the modified orthogonal matrix. Experimental results showed that our method had higher robustness and was better in resisting normal attacks. The error ratios were reduced by an order of magnitude using the proposed method.

Deep learning‐based robust medical image watermarking exploiting DCT and Harris hawks optimization

“…ROI has useful data and cannot be allowed to modify. 25,26 NROI imagery area has image's background data. As a result, the NROI imagery area is essential for clinical imageries for watermarking, and also it gives more protection of data or medical image.…”

“…The medical image has region of interest (ROI) and nonregion of interest (NROI). ROI has useful data and cannot be allowed to modify 25,26 . NROI imagery area has image's background data.…”

Robust Image Watermarking Scheme Using Population-Based Stochastic Optimization Technique

“…A new binary watermark embedding algorithm based on chaotic mixing and SVD for copyright protection application was proposed in [8]. The proposed method embeds a mixed binary watermark into the left orthogonal matrix of the host image.…”

“…After obtaining each sub-range interval, a singular value coefficient that belongs to a particular sub-range are modified by a corresponding scaling factor depending on watermark bits as per equation (8).…”