An improved DWT-SVD domain watermarking for medical information security

Abstract Exchange of patient record over network required a technique to guarantee security and privacy for tele-health services. This paper presents an improved watermarking technique capable of providing protection of patient data by embedding multi-watermarks in medical cover image using DWT-SVD domain. Prior to embedding, Hamming code is applied to text watermark in order to reduce channel noise distortion for the sensitive data. After embedding, the watermarked medical image is encrypted then compressed. Out of two encryption method and three compression scheme tested, combination of Chaotic-LZW shows the best performance. However, HyperChaotic-LZW combination is more robust against Gaussian, JPEG compression, speckle noise and histogram equalization attacks. We illustrate the good results in terms of objective and subjective evaluation, and verify its robustness for various attacks while maintaining imperceptibility, security and compression ratio. Experimental results demonstrate that the suggested technique archives high robustness against attacks in comparison to the other scheme for medical images.

[1]  Puvvadi Aparna,et al.  Biometric-based efficient medical image watermarking in E-healthcare application , 2019, IET Image Process..

[2]  Amit Kumar Singh,et al.  Robust and Imperceptible Dual Watermarking for Telemedicine Applications , 2014, Wireless Personal Communications.

[3]  Chin-Chen Chang,et al.  High-Capacity Reversible Data-Hiding for LZW Codes , 2010, 2010 Second International Conference on Computer Modeling and Simulation.

[4]  Hitoshi Kiya,et al.  Encryption-Then-Compression Systems Using Grayscale-Based Image Encryption for JPEG Images , 2018, IEEE Transactions on Information Forensics and Security.

[5]  Ankur Rai,et al.  Medical Image Watermarking in Transform Domain , 2018, Smart Innovations in Communication and Computational Sciences.

[6]  Amit Kumar Singh,et al.  A recent survey on image watermarking techniques and its application in e-governance , 2018, Multimedia Tools and Applications.

[7]  Sonika C. Rathi,et al.  Medical Image Authentication through Watermarking Preserving ROI , 2012 .

[8]  Amit Kumar Singh,et al.  Hybrid technique for robust and imperceptible multiple watermarking using medical images , 2015, Multimedia Tools and Applications.

[9]  Jasni Mohamad Zain,et al.  Watermark Compression in Medical Image Watermarking Using Lempel-Ziv-Welch (LZW) Lossless Compression Technique , 2016, Journal of Digital Imaging.

[10]  E. Mansoori,et al.  A new semi-blind watermarking algorithm using ordered Hadamard transform , 2016 .

[11]  Seyed Mojtaba Mousavi,et al.  A robust medical image watermarking against salt and pepper noise for brain MRI images , 2017, Multimedia Tools and Applications.

[12]  Vinay Kumar Srivastava,et al.  A blind medical image watermarking: DWT-SVD based robust and secure approach for telemedicine applications , 2017, Multimedia Tools and Applications.

[13]  Tanya Koohpayeh Araghi,et al.  An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on DWT and 2-D SVD , 2019, Future Gener. Comput. Syst..

[14]  Yanyan Huang,et al.  A Comparative Analysis of Information Hiding Techniques for Copyright Protection of Text Documents , 2018, Secur. Commun. Networks.

[15]  Amit Kumar Singh,et al.  Hybrid Technique for Robust and Imperceptible Image Watermarking in DWT–DCT–SVD Domain , 2014, National Academy Science Letters.

[16]  Jing Liu,et al.  SWT-DCT-Based Robust Watermarking for Medical Image , 2019 .

[17]  Jun Lang,et al.  A digital watermarking algorithm based on hyperchaos and discrete fractional Fourier transform , 2012, 2012 5th International Congress on Image and Signal Processing.

[18]  Chin-Chen Chang,et al.  A secure fragile watermarking scheme based on chaos-and-hamming code , 2011, J. Syst. Softw..

[19]  Yicong Zhou,et al.  Image encryption: Generating visually meaningful encrypted images , 2015, Inf. Sci..

[20]  Ingemar J. Cox,et al.  Watermarking Is Not Cryptography , 2006, IWDW.

[21]  Priyank Khare,et al.  Digital image watermarking scheme in wavelet domain using chaotic encryption , 2014, 2014 Students Conference on Engineering and Systems.

[22]  S. Agaian,et al.  NPCR and UACI Randomness Tests for Image Encryption , 2011 .

[23]  Peyman Adibi,et al.  Information and communication technology in medical education: an experience from a developing country. , 2012, JPMA. The Journal of the Pakistan Medical Association.

[24]  Veeramalai Sankaradass,et al.  An efficient ROI based copyright protection scheme for digital images with SVD and orthogonal polynomials transformation , 2018, Optik.

[25]  Bo Li,et al.  An Imperceptible Medical Image Watermarking Framework for Automated Diagnosis of Retinal Pathologies in an eHealth Arrangement , 2019, IEEE Access.

[26]  Tiegang Gao,et al.  A Novel Encryption Frame for Medical Image with Watermark Based on Hyperchaotic System , 2014 .

[27]  Güzin Ulutas,et al.  A New Medical Image Watermarking Technique with Finer Tamper Localization , 2017, Journal of Digital Imaging.

[28]  Adel Alti,et al.  A Blind Image Watermarking Method for Personal Medical Data Security , 2019, 2019 International Conference on Networking and Advanced Systems (ICNAS).

[29]  S. R. Kodituwakku,et al.  COMPARISON OF LOSSLESS DATA COMPRESSION ALGORITHMS FOR TEXT DATA , 2010 .

[30]  Jixin Ma,et al.  FDCT and Perceptual Hash-Based Watermarking Algorithm for Medical Images , 2019, Innovation in Medicine and Healthcare Systems, and Multimedia.

[31]  Manoj Kumar,et al.  An efficient encryption-then-compression technique for encrypted images using SVD , 2017, Digit. Signal Process..

[32]  Mahasak Ketcham,et al.  Hiding Patient Injury Information in Medical Images with QR Code , 2019 .

[33]  K. A. Navas,et al.  DWT-DCT-SVD based watermarking , 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

[34]  S. P. Ghrera,et al.  Watermarking Techniques and Its Applications in Tele-Health: A Technical Survey , 2018, Cryptographic and Information Security.

[35]  Amit Kumar Singh,et al.  Quantization based multiple medical information watermarking for secure e-health , 2017, Multimedia Tools and Applications.

[36]  Robert Wrembel,et al.  RLH: Bitmap compression technique based on run-length and Huffman encoding , 2009, Inf. Syst..

[37]  Ikhwan Lee,et al.  Survey of Error and Fault Detection Mechanisms , 2011 .

[38]  M. Karthikeyan,et al.  Protection of bio medical iris image using watermarking and cryptography with WPT , 2019, Measurement.