Digital image steganalysis: A survey on paradigm shift from machine learning to deep learning based techniques-Reference-Cited by-同舟云学术

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

Published:2020-12-13 Issue:2 Volume:15 Page:504-522
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Selvaraj Arivazhagan¹^ORCID,Ezhilarasan Amrutha¹^ORCID,Wellington Sylvia Lilly Jebarani¹^ORCID,Sam Ananthi Roy¹

Affiliation:

1. Centre for Image Processing and Pattern Recognition Department of Electronics and Communication Engineering Mepco Schlenk Engineering College (Autonomous) Sivakasi Tamilnadu India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12043

Reference78 articles.

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5. Holub V. Fridrich J.:Digital image steganography using universal distortion. In: Proceedings of the First ACM Workshop on Information Hiding and Multimedia Security. pp.59–68.New York(2013)

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