Evidence map›Paper›PMID 33867813›Full record

ArticleMultimedia tools and applications2021

A lossless DWT-SVD domain watermarking for medical information security.

Narima Zermi, Amine Khaldi, Med Redouane Kafi, Fares Kahlessenane, Salah Euschi

Abstract read
In one paragraph

Article in Multimedia tools and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Narima ZermiElectronics Department, Faculty of Engineering Sciences Laboratories of Automation and Signals of Annaba (LASA), Badji Mokhtar Annaba University, 23000 Annaba, Algeria.
Amine KhaldiComputer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria.
Med Redouane KafiComputer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria.
Fares KahlessenaneComputer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria.
Salah EuschiComputer Science Department, Faculty of Sciences and Technology, Artificial Intelligence and Information Technology Laboratory (LINATI), University of Kasdi Merbah, 30000 Ouargla, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this work is to protect as much as possible the images exchanged in telemedicine, to avoid any confusion between the patient's radiographs, these images are watermarked with the patient's information as well as the acquisition data. Thus, during the extraction, the doctor will be able to affirm with certainty that the images belong to the treated patient. The ultimate goal of our completed work is to properly integrate the watermark with as little distortion as possible to typically retain the medical information in the image. In this innovative approach used DWT decomposition is appropriately applied to the image which allows a remarkably satisfactory adjustment during the insertion. An SVD is then applied to the three subbands LL, LH and HL, which ideally allows retaining the maximum energy of the used image in a guaranteed minimum of singular values. A specific combination of the three resulting singular value matrices is then performed for watermark integration. The proposed approach ensures data integrity, patient confidentiality when sharing data, and robustness to several conventional attacks.

Indexed as

Digital watermarkingDiscrete wavelet transformElectronic patient recordMedical imageSingular value decomposition

Identifiers

PMID33867813
PMCPMC8039804

What OpenQuestion holds

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Registered trials

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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.