Abstract
Telemedicine enables the patients to access the best medical consultations even from remote locations and for the doctor to be able to evaluate and to diagnose a health problem. This technological development has been a milestone for health care services the world over. This technology had enabled scores of people to access the best medical care despite the fact that are not near to these services. But this technology also has its inherent drawbacks like transmission of the medical images in a reliable manner without any tampering. This paper deals with those issues. Therapeutic images are largely commuted over the internet. Therapeutic images may be attacked by diverse kinds of noise while commuting through the internet. Utilizing these noise attacked therapeutic images may lead to wrong diagnosis. Hence the remote authority must attest the veracity of the significant part (ROI) in therapeutic image and recover the ROI on the off chance that it has been attacked by noise. This paper presents an innovative watermarking system which uses Fast and Adaptive Bi-dimensional Empirical Mode Decomposition (FABEMD) to recover the ROI in a therapeutic image when it is attacked by noise. Experiments carried out using this novel technique proves that the ROI in therapeutic image is restored to its original state.
Similar content being viewed by others
References
Abbas NH, Ahmad SMSA, Parveen S, Wan WA, Ramli ARB (2018) Design of high performance copyright protection watermarking based on lifting wavelet transform and bi empirical mode decomposition. Multimed Tools Appl. https://doi.org/10.1007/s11042-017-5488-x
Aherrahrou N, Tairi H (2012) LNCS 7340, pp 307–315
Al-Haj A, Amer A. Secured telemedicine using region-based watermarking with tamper localization. J Digit Imaging 27:737–750
Al-Haj A, Mohammad A, Amer A (2016) Crypto-watermarking of transmitted medical images. J Digit Imaging 30(1):26–38
Alshanbari HS (2020) Medical image watermarking for ownership & tamper detection. Multimed Tools Appl. https://doi.org/10.1007/s11042-020-08814-9
American Hospital Association (2015) The promise of tele-health for hospitals, health systems and their communities, Trend Watch
Bhuiyan SMA, Adhami RR, Khan JF (2008) A novel approach of fast and adaptive bi-dimensional empirical mode decomposition. In: Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, USA, March 31-April 4, pp 1313–1316
Bhuiyan SMA, Adhami RR, Khan JF (2008) Fast and adaptive bi-dimensional empirical mode decomposition using order-statistics filter based envelope estimation. EURASIP J Adv Signal Process 1–18
Chao HM, Hsu CM, Miaou A-G (2002) A data hiding technique with authentication, integration and confidentiality for electronic patient records. 6:46–53IEEE Transactions on Information Technology in Biomedicine1
Coatrieux G, Lecornu L, Sankur B, Roux Ch (2006) A review of image watermarking applications in healthcare. Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS ‘06, pp 4691–4694
Dinya E, Tóth T (2013) Health Informatics: e-HEALTH and TELEMEDICINE. Institute of Health Informatics, vol 4. Semmelweis University
Gran B, Liew S-C, Zain JM, Ali M (2016) Watermark compression in medical image watermarking using Lempel-Ziv-Welch (LZW) lossless compression technique. J Digit Imaging 29:216–225
Huang NE, Shen Z, Long SR et al (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc Lond A 454(12):903–995
Khor HL, Liew S-C, Zain JM (2017) Region of interest-based tamper detection and lossless recovery watermarking scheme (ROI-DR) on ultrasound medical images. J Digit Imaging 30:328–349
Liu X, Lou J, Fang H, Chen Y, Ouyang P, Wang Y, Zou B, Wang L (2019) A novel robust reversible watermarking scheme for protecting authenticity and integrity of medical images. IEEE Access, Digital Object Identifier. https://doi.org/10.1109/ACCESS.2019.2921894
Nunes JC, Bouaoune Y, Delechelle E, Niang O, Bunel P (2003) Image analysis by bi-dimensional empirical mode decomposition. Image Vis Comput 21(12):1019–1026
Nunes JC, Guyot S, Del´echelle E (2005) Texture analysis based on local analysis of the bi-dimensional empirical mode decomposition. Mach Vis Appl 16(3):177–188
Ooi J, Khor H-L, Liew S-C (2020) Region of interest-based tamper detection and lossless recovery watermarking scheme on MRI and X-ray medical images. IOP Conf Ser Mater Sci Eng 769:012068
Priyanka, Maheshkar S (2017) Region-based hybrid medical image watermarking for secure telemedicine applications. Multimed Tools Appl 76:3617–3647. https://doi.org/10.1007/s11042-016-3913-1
Rajitha Bakthula S, Shivani S, Agarwal (2018) Self authenticating medical X-ray images for telemedicine applications. Multimed Tools Appl 77:8375–8392. https://doi.org/10.1007/s11042-017-4738-2
Swaraja K, Meenakshi K, Padmavathi K (2020) An optimized blind dual medical image watermarking framework for tamper localization and content authentication in secured telemedicine. Biomed Signal Process Control 55:101665. https://doi.org/10.1016/j.bspc.2019.101665
Thabit R, Khoo BE (2017) Medical image authentication using SLT and IWT schemes. Multimed Tools Appl 76:309–332
Xiao S, Zhang Z, Zhang Y, Yu C (2020) Multipurpose watermarking algorithm for medical images. Hindawi Sci Program, Article ID 8848885. https://doi.org/10.1155/2020/8848885
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Rayachoti, E., Tirumalasetty, S. & Prathipati, S.C. Watermarking system for telemedicine based on FABEMD. Multimed Tools Appl 81, 44383–44404 (2022). https://doi.org/10.1007/s11042-022-13277-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-022-13277-1