ArticleThe Visual computer2023
Fingerprint-based robust medical image watermarking in hybrid transform.
Article in The Visual computer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 81 citations in OpenAlex.
- A fast and semi-fragile high-capacity digital watermarking system for MRI images using a hybrid combination of DOST and LBP features.Scientific reports · 2026Article
- A robust fragile watermarking approach for image tampering detection and restoration utilizing hybrid transforms.Scientific reports · 2025Article
- Secure healthcare data management using multimodal image fusion and dual watermarking.Scientific reports · 2025Article
- WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications.Cognitive computation · 2022Article
- Signing and Verifying Encrypted Medical Images Using Double Random Phase Encryption.Entropy (Basel, Switzerland) · 2022Article
- A Highly Robust Medical Image Watermarking Method for Medical Real-time Applications.Journal of medical signals and sensorsArticle
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To protect the medical images integrity, digital watermark is embedded into the medical images. A non-blind medical image watermarking scheme based on hybrid transform is propounded. In this paper, fingerprint of the patient is used as watermark for better authentication, identifying the original medical image and privacy of the patients. In this scheme, lifting wavelet transform (LWT) and discrete wavelet transform (DWT) are utilized for amplifying the watermarking algorithm. The scaling and embedding factors are calculated adaptively with the help of Local Binary Pattern values of the host medical image to achieve better imperceptibility and robustness for medical images and fingerprint watermark, respectively. Two-level decomposition is done where for the first level LWT is utilized and for the second level decomposition DWT is utilized. At the extraction side, non-blind recovery of fingerprint watermark is performed which is similar to the embedding process. The propounded design is implemented on various medical images like Chest X-ray, CT scan and so on. The propounded design provides better imperceptibility and robustness with the combination of LWT-DWT. The result analysis proves that the proposed fingerprint watermarking scheme has attained best results in terms of robustness and authentication with different medical image attacks. Peak Signal to Noise Ratio and Normalized Correlation Coefficient metrics are used for evaluating the proposed scheme. Furthermore, superior results are obtained when compared to related medical image watermarking schemes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.