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Privacy Protection of Patient Medical Images using Digital Watermarking Technique for E-healthcare System.
Curr Med Imaging Rev. 2019; 15(8):802-809.CM

Abstract

BACKGROUND

Privacy protection has been a critical issue in the delivery of medical images for telemedicine, e-health care and other remote medical systems.

OBJECTIVES

The aim of this proposed work is to implement a secure, reversible, digital watermarking technique for the transmission of medical data remotely in health care systems.

METHODS

In this research work, we employed a novel optimized digital watermarking scheme using discrete wavelet transform and singular value decomposition using cuckoo search algorithm based on Lévy flight for embedding watermark into the grayscale medical images of the patient. The performance of our proposed algorithm is evaluated on four different 256 × 256 grayscale host medical images and a 32 × 32 binary logo image.

RESULTS

The performance of the proposed scheme in terms of peak signal to noise ratio was remarkably high, with an average of 55.022dB compared to other methods.

CONCLUSION

Experimental results reveal that the proposed method is capable of achieving superior performance compared to some of the state-of-art schemes in terms of robustness, security and high embedding capacity which is required in the field of telemedicine and e-health care system.

Authors+Show Affiliations

Department of Electrical & Electronics Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi- 626005, Tamilnadu, India.Department of Electrical & Electronics Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi- 626005, Tamilnadu, India.Department of Electrical and Electronics Engineering, Syed Ammal Engineering College, Ramanathapuram- 623502, Tamil Nadu, India.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32008548

Citation

Sivaprakash, Asokan, et al. "Privacy Protection of Patient Medical Images Using Digital Watermarking Technique for E-healthcare System." Current Medical Imaging Reviews, vol. 15, no. 8, 2019, pp. 802-809.
Sivaprakash A, Rajan SNE, Selvaperumal S. Privacy Protection of Patient Medical Images using Digital Watermarking Technique for E-healthcare System. Curr Med Imaging Rev. 2019;15(8):802-809.
Sivaprakash, A., Rajan, S. N. E., & Selvaperumal, S. (2019). Privacy Protection of Patient Medical Images using Digital Watermarking Technique for E-healthcare System. Current Medical Imaging Reviews, 15(8), 802-809. https://doi.org/10.2174/1573405615666190408115158
Sivaprakash A, Rajan SNE, Selvaperumal S. Privacy Protection of Patient Medical Images Using Digital Watermarking Technique for E-healthcare System. Curr Med Imaging Rev. 2019;15(8):802-809. PubMed PMID: 32008548.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Privacy Protection of Patient Medical Images using Digital Watermarking Technique for E-healthcare System. AU - Sivaprakash,Asokan, AU - Rajan,Samuel Nadar Edward, AU - Selvaperumal,Sundaramoorthy, PY - 2019/01/10/received PY - 2019/03/14/revised PY - 2019/03/21/accepted PY - 2020/2/4/entrez PY - 2020/2/6/pubmed PY - 2020/10/31/medline KW - Cuckoo search algorithm (CSA) KW - digital watermarking technique KW - discrete wavelet transform (DWT) KW - e-health care system KW - patient medical images KW - singular value decomposition (SVD) KW - telemedicine SP - 802 EP - 809 JF - Current medical imaging reviews JO - Curr Med Imaging Rev VL - 15 IS - 8 N2 - BACKGROUND: Privacy protection has been a critical issue in the delivery of medical images for telemedicine, e-health care and other remote medical systems. OBJECTIVES: The aim of this proposed work is to implement a secure, reversible, digital watermarking technique for the transmission of medical data remotely in health care systems. METHODS: In this research work, we employed a novel optimized digital watermarking scheme using discrete wavelet transform and singular value decomposition using cuckoo search algorithm based on Lévy flight for embedding watermark into the grayscale medical images of the patient. The performance of our proposed algorithm is evaluated on four different 256 × 256 grayscale host medical images and a 32 × 32 binary logo image. RESULTS: The performance of the proposed scheme in terms of peak signal to noise ratio was remarkably high, with an average of 55.022dB compared to other methods. CONCLUSION: Experimental results reveal that the proposed method is capable of achieving superior performance compared to some of the state-of-art schemes in terms of robustness, security and high embedding capacity which is required in the field of telemedicine and e-health care system. UR - https://www.unboundmedicine.com/medline/citation/32008548/Privacy_Protection_of_Patient_Medical_Images_using_Digital_Watermarking_Technique_for_E_healthcare_System_ L2 - https://medlineplus.gov/telehealth.html DB - PRIME DP - Unbound Medicine ER -
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