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A Robust Image Encrypted Watermarking Technique for Neurodegenerative Disorder Diagnosis and Its Applications.
Sharma, Chirag; Bagga, Amandeep; Sobti, Rajeev; Shabaz, Mohammad; Amin, Rashid.
  • Sharma C; Department of Computer Science and Engineering, Lovely Professional University, Punjab, India.
  • Bagga A; Department of Computer Application, Lovely Professional University, Punjab, India.
  • Sobti R; Department of Computer Science and Engineering, Lovely Professional University, Punjab, India.
  • Shabaz M; Arba Minch University, Ethiopia.
  • Amin R; Department of Computer Science and Engineering, Chandigarh University, India.
Comput Math Methods Med ; 2021: 8081276, 2021.
Article in English | MEDLINE | ID: covidwho-1435106
ABSTRACT
The use of Internet technology has led to the availability of different multimedia data in various formats. The unapproved customers misuse multimedia information by conveying them on various web objections to acquire cash deceptively without the first copyright holder's intervention. Due to the rise in cases of COVID-19, lots of patient information are leaked without their knowledge, so an intelligent technique is required to protect the integrity of patient data by placing an invisible signal known as a watermark on the medical images. In this paper, a new method of watermarking is proposed on both standard and medical images. The paper addresses the use of digital rights management in medical field applications such as embedding the watermark in medical images related to neurodegenerative disorders, lung disorders, and heart issues. The various quality parameters are used to figure out the evaluation of the developed method. In addition, the testing of the watermarking scheme is done by applying various signal processing attacks.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computer Security / Neurodegenerative Diseases / COVID-19 Type of study: Diagnostic study / Experimental Studies Limits: Humans Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 2021

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computer Security / Neurodegenerative Diseases / COVID-19 Type of study: Diagnostic study / Experimental Studies Limits: Humans Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 2021