Cited by 0Chaos-based Image/Signal EncryptionComputer Science and EngineeringImage and Video Quality Assessment

Corrections to “A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM”

Open access
Kumar Panigrahy, Asisa, Ramesh Maniyath, Shima, Sathiyanarayanan, Mithileysh, Dholvan, Mohan, Ramaswamy, T., Hanumanthakari, Sudheer, Arun Vignesh, N., Kanithan, S. +1 more·2024·IEEE Access

Abstract

Presents corrections to the paper, Corrections to “A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM”.

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Registry

Crossref · 10.1109/access.2024.3464189

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1 of 1 references verified0 citation errors · 0 not checkable

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Cites

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Authors
Kumar Panigrahy, A., Ramesh Maniyath, S., Sathiyanarayanan, M., Dholvan, M., Ramaswamy, T., Hanumanthakari, S., Arun Vignesh, N., Kanithan, S., & Swain, R.
Affiliations
  • Department of ECE, Faculty of Science and Technology (Icfaitech), ICFAI Foundation for Higher Education Hyderabad, Hyderabad, Telangana, India
  • Department of ECE, MVJ College of Engineering, Bengaluru, Karnataka, India
  • Research & Innovation Centre, MIT Square, London, U.K.
  • Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
  • ICFAI Foundation for Higher Education (IN)
  • Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology (GRIET), Hyderabad, Telangana, India
  • Jain University (IN)
  • Parala Maharaja Engineering College (IN)
Venue
IEEE Access
Published
2024
Volume
12
Pages
137522-137522
ISSN
2169-3536 (ISSN-L)
OpenAlex
W4403022090
Cited by
0
References
1
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
Keywords
image encryption, artificial neural networks, structural similarity index, encryption robustness

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