A Hybrid Contourlet-Singular Value Decomposition Authentication Scheme Based on Chaos and Visual Cryptography for Medical Images

摘要

In this paper, a robust authentication scheme for medical images is proposed based on a singular value decomposition (SVD) and contourlet transform. By using a contourlet transform and SVD, the visual and geometric stability of the image can be fully considered. Using a chaotic mapand visual cryptography (VC), the security of the authentication scheme can be enhanced. Corrections and validity can be improved through probability- and statistics-related knowledge. The experimental results demonstrate that the proposed scheme is effective against common attacks, such asJPEG lossy compression, cropping, rotation, resizing, added noise and sharpening and blurring attacks. The comparison analysis reveals that the performance of the proposed scheme outperforms some of the existing methods.