A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding-Reference-Cited by-同舟云学术

A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding

Published:2022 Issue: Volume:10 Page:132608-132620
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Singh Kamred Udham¹^ORCID,Bhatia Surbhi²^ORCID,Kumar Ankit³^ORCID,Kautish Sandeep⁴^ORCID,Kumar Adarsh⁵^ORCID,Basheer Shakila⁶^ORCID,Hameed Alaa Ali⁷

Affiliation:

1. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

2. Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia

3. Department of Computer Engineering and Applications, GLA University, Mathura, India

4. LBEF Campus, Kathmandu, Nepal

5. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

6. Department of Information Systems, College of computer and Information Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

7. Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09967975.pdf?arnumber=9967975

Reference40 articles.

1. Robust Watermarking Scheme for NIfTI Medical Images

2. Robust medical zero‐watermarking algorithm based on Residual‐DenseNet

3. Secure Watermarking Scheme for Color DICOM Images in Telemedicine Applications

4. Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications

5. Three Layer Authentications with a Spiral Block Mapping to Prove Authenticity in Medical Images

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