Robust Medical Image Watermarking Scheme with Rotation Correction

Abstract

Abstract. In order to protect the image contents, many reversible medical image watermarking schemes have been proposed, although reversibility guaranteed the lossless of the cover image, but it also has some shortcomings such as it is vulnerable to geometrical attacks. So a novel robust watermarking scheme for medical image based on the combination Redundancy Discrete Wavelet Transform (RDWT) and Singular Value Decomposition (SVD) is proposed in this letter. Different from the reversibility, which guarantees the perceptional lossless, the proposed scheme achieves satisfied visual quality by exploiting the visually masking property of RDWT, in the meantime, Speeded-Up Robust Features (SURF) and Random sample consensus (RANSAC) based rotation correction scheme is put forward, which can be used to restore the attacked image to the original state. The experimental results show that the proposed scheme has the large amounts of embedding capacity; it is also robust against rotation attacks; and the perceptional quality of watermarked image meets the need of usage in medical images.

Prospects of Digital Watermarking in Providing Security, Reliability, and Privacy to Medical Images

“…Region-based watermarking with immense hiding capacity was executed through DWT-SVD by Al-Haj and Amer [58]. DWT-SVD combination was also utilized by Gao et al [59], where the cover image itself was considered as the watermark. It provides robustness against geometrical attacks without affecting visual transparency.…”