Secure and Robust Fragile Watermarking Scheme for Medical Images

IEEE Access

Po Yang¹  Haojun Huang²  Mohamed Elhoseny³  Abdulaziz Shehab³  Khan Muhammad⁴  Arun Kumar Sangaiah⁵  Guolin Hou⁶ 

[1] Department of Computer Science, Liverpool John Moores University, Liverpool, U.K.;Department of Computer science, College of Computer, China University of Geosciences, Wuhan, China;Faculty of Computers and Information, Mansoura University, Mansoura, Egypt;Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea;School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India;Science and Technology on Near-surface Detection Laboratory, Wuxi, China;

关键词: Medical image security;    tamper localization;    singular value decomposition;    fragile watermarking;    arnold transformation;    image security;   

DOI  :  10.1109/ACCESS.2018.2799240

来源: DOAJ

【 摘 要 】

Due to the advances in computer-based communication and health services over the past decade, the need for image security becomes urgent to address the requirements of both safety and non-safety in medical applications. This paper proposes a new fragile watermarking-based scheme for image authentication and self-recovery for medical applications. The proposed scheme locates image tampering as well as recovers the original image. A host image is broken into $4\times 4$ blocks and singular value decomposition (SVD) is applied by inserting the traces of block wise SVD into the least significant bit of the image pixels to figure out the transformation in the original image. Two authentication bits namely block authentication and self-recovery bits are used to survive the vector quantization attack. The insertion of self-recovery bits is determined with Arnold transformation, which recovers the original image even after a high tampering rate. SVD-based watermarking information improves the image authentication and provides a way to detect different attacked area of the watermarked image. The proposed scheme is tested against different types of attacks such as text removal attack, text insertion attack, and copy and paste attack. Compared with the state-of-the art methods, the proposed scheme greatly improves both tamper localization accuracy and the peak signal to noise ratio of self-recovered image.

【 授权许可】

Unknown