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Dr . Amrutha E

vidwan id: 534159

Assistant Professor, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Virudhunagar

orcid 0000-0002-2763-958X scopus 49360938700 researcher AAJ-3392-2021 google_scholar yOMGvoAAAAJ

Expertise

  • Imaging Science and Photographic Technology
    • View All

Publications

Total Articles 12
Books 0
Proceedings 0

Publications 1992-2022

Scopus

Citations 55
h-index 4

CrossRef

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Citations 69
h-index 5

Google Scholar

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Honours and Awards

No awards available.

Professional Recognition

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Bio

Image processing, Deep learning, Information hiding

Personal Details

  • Female
  • Mepco Schlenk Engineering College, Virudhunagar
  • Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College - 626005
PhD
Other Institute 2022
Assistant Professor 2022 – Present
Mepco Schlenk Engineering College, Virudhunagar

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Organisations (108+)

Arul Jayanthi

Ms Arul Jayanthi A

Mepco Schlenk Engineering College, Virudhunagar

Arulselvi

Ms Arulselvi E

Mepco Schlenk Engineering College, Virudhunagar

Bhavani

Dr Bhavani R

Mepco Schlenk Engineering College, Virudhunagar

Balameenakshi

Ms Balameenakshi M

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Amutha

Dr Amutha S

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Ananthi

Dr Ananthi G

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Muthulakshmi

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Anubala

Dr Anubala S

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Scholarly Work

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Scholarly Publications

Improving quality of stego images through dithering techniques for pixel pair matching steganographic schemes

Open Access
 Serial
International Journal of Engineering and Advanced Technology · 2019 Volume: 8, Issue: 6, Pages: 4923-4931.
Authors: Amrutha E , Arivazhagan S , Sylvia Lilly Jebarani W
DOI 10.35940/ijeat.F9239.088619
1 citation
2 citations

Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms

 Article
2021 Volume: 33, Issue: 17, Pages: 11465-11485.
Authors: Amrutha E , Arivazhagan S , Veena ST , Sylvia Lilly Jebarani W
DOI 10.1007/s00521-021-05837-7
10 citations
12 citations

Universal steganalysis of spatial content-independent and content-adaptive steganographic algorithms using normalized feature derived from empirical mode decomposed components

 Article
2022 Volume: 101,
Authors: Amrutha E , Arivazhagan S , Sylvia Lilly Jebarani W
DOI 10.1016/j.image.2021.116567
10 citations
8 citations

Digital image steganalysis: A survey on paradigm shift from machine learning to deep learning based techniques

 Serial
IET Image Processing · 2021 Volume: 15, Issue: 2, Pages: 523-541.
Authors: Amrutha E , Arivazhagan S
DOI 10.1049/ipr2.12044
13 citations
12 citations

MixNet: A Robust Mixture of Convolutional Neural Networks as Feature Extractors to Detect Stego Images Created by Content-Adaptive Steganography

 serial
Neural Processing Letters · 2022 Volume: 54, Issue: 2, Pages: 853-870.
Authors: Amrutha E , Arivazhagan S , Sylvia Lilly Jebarani W
DOI 10.1007/s11063-021-10661-0
12 citations
12 citations