A fuzzy based ROI selection for encryption and watermarking in medical image using DWT and SVD

Nowadays secure medical image watermarking had become a stringent task in telemedicine. This paper presents a novel medical image watermarking method by fuzzy based Region of Interest (ROI) selection and wavelet transformation approach to embed encrypted watermark. First, the source image will undergo fuzzification to determine the critical points through central and final intensity along the radial line for selecting region of interest (ROI). Second, watermark image is altered to time-frequency domain through wavelet decomposition where the sub-bands are swapped based on the magnitude value obtained through logistic mapping. In the each sub-band all the pixels get swapped, results in fully encrypted image which guarantees the watermark to a secure, reliable and an unbreakable form. In order to provide more robustness to watermark image, singular values are obtained for encrypted watermark image and key component is calculated for avoiding false positive error. Singular values of the source and watermark image are modified through key component. Experimental results reveal that the proposed algorithm attains high robustness and improved security to the watermarked image against various kinds of attacks.

[1]  Xinpeng Zhang,et al.  Reversible Data Hiding in Encrypted Image , 2011, IEEE Signal Processing Letters.

[2]  Ali Aghagolzadeh,et al.  ROI based robust and secure image watermarking using DWT and Arnold map , 2016 .

[3]  Malay Kumar Kundu,et al.  Lossless ROI Medical Image Watermarking Technique with Enhanced Security and High Payload Embedding , 2010, 2010 20th International Conference on Pattern Recognition.

[4]  Sotiris Pavlopoulos,et al.  Multiple Image Watermarking Applied to Health Information Management , 2006, IEEE Transactions on Information Technology in Biomedicine.

[5]  Hui Fang,et al.  A Novel Robust Reversible Watermarking Scheme for Protecting Authenticity and Integrity of Medical Images , 2019, IEEE Access.

[6]  Sos S. Agaian,et al.  (n, k, p)-Gray code for image systems , 2013, IEEE Transactions on Cybernetics.

[7]  M. Balakrishnan,et al.  A Genetic Algorithm Based Medical Image Watermarking for Improving Robustness and Fidelity in Wavelet Domain , 2020, FICTA.

[8]  A. Lavanya,et al.  Watermarking patient data in encrypted medical images , 2012 .

[9]  Zhenxing Qian,et al.  Reversible visible watermark embedded in encrypted domain , 2015, 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP).

[10]  Safya Belghith,et al.  Cryptanalysis of a new substitution–diffusion based image cipher , 2010 .

[11]  Salwa K. Abd-El-Hafiz,et al.  Symmetric encryption algorithms using chaotic and non-chaotic generators: A review , 2015, Journal of advanced research.

[12]  Ruey-Feng Chang,et al.  Tamper Detection and Recovery for Medical Images Using Near-lossless Information Hiding Technique , 2008, Journal of Digital Imaging.

[13]  Jiwu Huang,et al.  A reversible data hiding method with contrast enhancement for medical images , 2015, J. Vis. Commun. Image Represent..

[14]  Qiang Chen,et al.  Active contours driven by local likelihood image fitting energy for image segmentation , 2015, Inf. Sci..

[15]  K. Balasamy,et al.  An intelligent reversible watermarking system for authenticating medical images using Wavelet and PSO , 2019, Cluster Computing.

[16]  Seyed Mojtaba Mousavi,et al.  A Heuristic Automatic and Robust ROI Detection Method for Medical Image Warermarking , 2015, Journal of Digital Imaging.

[17]  Wei Pan,et al.  Imperceptible reversible watermarking of radiographic images based on quantum noise masking , 2018, Comput. Methods Programs Biomed..

[18]  R. Eswaraiah,et al.  Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI , 2014, International journal of telemedicine and applications.

[19]  Habib Zaidi,et al.  A contextual based double watermarking of PET images by patient ID and ECG signal , 2011, Comput. Methods Programs Biomed..

[20]  Margarita N. Favorskaya,et al.  Feature-based synchronization correction for multilevel watermarking of medical images , 2019, KES.

[21]  Tung-Shou Chen,et al.  An Improved Reversible Data Hiding in Encrypted Images Using Side Match , 2012, IEEE Signal Processing Letters.

[22]  Osamah M. Al-Qershi,et al.  Authentication and Data Hiding Using a Hybrid ROI-Based Watermarking Scheme for DICOM Images , 2011, Journal of Digital Imaging.

[23]  Ahmet M. Eskicioglu,et al.  Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition , 2005, J. Electronic Imaging.

[24]  Rob Aspin,et al.  Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review , 2018, Comput. Sci. Rev..

[25]  H K Huang,et al.  Medical image security in a HIPAA mandated PACS environment. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[26]  Peng Liu,et al.  ROI-Based Reversible Data Hiding Scheme for Medical Images with Tamper Detection , 2015, IEICE Trans. Inf. Syst..

[27]  Jong Chul Ye,et al.  k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI , 2009, Magnetic resonance in medicine.

[28]  Tian-ge Zhuang,et al.  A Region-Based Lossless Watermarking Scheme for Enhancing Security of Medical Data , 2009, Journal of Digital Imaging.

[29]  P. Chenna Reddy,et al.  An evolutionary programming approach for securing medical images using watermarking scheme in invariant discrete wavelet transformation , 2018, Biomed. Signal Process. Control..

[30]  Malay Kumar Kundu,et al.  Hybrid Contourlet-DCT Based Robust Image Watermarking Technique Applied to Medical Data Management , 2011, PReMI.

[31]  James C. Bezdek,et al.  Partially supervised clustering for image segmentation , 1996, Pattern Recognit..

[32]  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..

[33]  J.M. Zain,et al.  Reversible watermarking for authentication of DICOM images , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[34]  Kwok-Tung Lo,et al.  Optimal quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks , 2011, Signal Process..

[35]  Dimitris E. Koulouriotis,et al.  Performance evaluation of moment-based watermarking methods: A review , 2012, J. Syst. Softw..

[36]  Chih-Hung Lin,et al.  Authentication and Protection for Medical Image , 2010, ICCCI.

[37]  Xingming Sun,et al.  Reversible data hiding with contrast enhancement and tamper localization for medical images , 2017, Inf. Sci..

[38]  Ali Al-Haj,et al.  Secured Telemedicine Using Region-Based Watermarking with Tamper Localization , 2014, Journal of Digital Imaging.

[39]  Gouenou Coatrieux,et al.  A joint encryption/watermarking algorithm for verifying the reliability of medical images: Application to echographic images , 2012, Comput. Methods Programs Biomed..

[40]  Saeed Rastegar,et al.  Hybrid watermarking algorithm based on Singular Value Decomposition and Radon transform , 2011 .

[41]  Chun Kiat Tan,et al.  Security Protection of DICOM Medical Images Using Dual-Layer Reversible Watermarking with Tamper Detection Capability , 2011, Journal of Digital Imaging.

[42]  Aly A. Farag,et al.  A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data , 2002, IEEE Transactions on Medical Imaging.

[43]  Sudhir Tirumalasetty,et al.  SLT based watermarking system for secure telemedicine , 2020, Cluster Computing.

[44]  Weiming Zhang,et al.  A ROI-based high capacity reversible data hiding scheme with contrast enhancement for medical images , 2017, Multimedia Tools and Applications.

[45]  J.M. Zain,et al.  Medical Image Watermarking with Tamper Detection and Recovery , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[46]  Tian-ge Zhuang,et al.  Lossless Watermarking for Verifying the Integrity of Medical Images with Tamper Localization , 2009, Journal of Digital Imaging.

[47]  Balasubramanian Raman,et al.  Reversible data hiding for rightful ownership assertion of images in encrypted domain over cloud , 2017 .

[48]  Suresh N. Mali,et al.  ROI Based Embedded Watermarking of Medical Images for Secured Communication in Telemedicine , 2012 .

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

[50]  Nikolaos G. Bourbakis,et al.  A general quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks , 2008, Signal Process. Image Commun..