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short-paper

Color Image Steganalysis Based On Steerable Gaussian Filters Bank

Authors:

Hasan Abdulrahman,

Philippe Montesinos,

Baptiste MagnierAuthors Info & Claims

IH&MMSec '16: Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security

Pages 109 - 114

https://doi.org/10.1145/2909827.2930799

Published: 20 June 2016 Publication History

Abstract

This article deals with color images steganalysis based on machine learning. The proposed approach enriches the features from the Color Rich Model by adding new features obtained by applying steerable Gaussian filters and then computing the co-occurrence of pixel pairs. Adding these new features to those obtained from Color-Rich Models allows us to increase the detectability of hidden messages in color images. The Gaussian filters are angled in different directions to precisely compute the tangent of the gradient vector. Then, the gradient magnitude and the derivative of this tangent direction are estimated. This refined method of estimation enables us to unearth the minor changes that have occurred in the image when a message is embedded. The efficiency of the proposed framework is demonstrated on three stenographic algorithms designed to hide messages in images: S-UNIWARD, WOW, and Synch-HILL. Each algorithm is tested using different payload sizes. The proposed approach is compared to three color image steganalysis methods based on computation features and Ensemble Classifier classification: the Spatial Color Rich Model, the CFA-aware Rich Model and the RGB Geometric Color Rich Model.

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Cited By

Li WWang HChen Y(2024)From Cover to Immucover: Adversarial Steganography via Immunized Cover ConstructionIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.332174032:3(1233-1247)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3321740
Xu MLuo XWang JWang H(2023)Color image steganalysis based on quaternion discrete cosine transformElectronic Research Archive10.3934/era.202320931:7(4102-4118)Online publication date: 2023
https://doi.org/10.3934/era.2023209
Agarwal SCho DJung K(2023)Detecting Images in Two-Operator Series Manipulation: A Novel Approach Using Transposed Convolution and Information FusionSymmetry10.3390/sym1510189815:10(1898)Online publication date: 10-Oct-2023
https://doi.org/10.3390/sym15101898
Show More Cited By

Index Terms

Color Image Steganalysis Based On Steerable Gaussian Filters Bank
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
2. Security and privacy
  1. Cryptography
    1. Information-theoretic techniques

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Information & Contributors

Information

Published In

cover image ACM Conferences

IH&MMSec '16: Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security

June 2016

200 pages

ISBN:9781450342902

DOI:10.1145/2909827

General Chairs:
Fernando Pérez-González
University of Vigo, Spain
,
Patrick Bas
CNRS, University of Lille, France
,
Program Chairs:
Tanya Ignatenko
Eindhoven University of Technology, The Netherlands
,
François Cayre
Grenoble INP, University of Grenoble Alpes, France

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 June 2016

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Short-paper

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IH&MMSec '16

Sponsor:

SIGMM

IH&MMSec '16: ACM Information Hiding and Multimedia Security Workshop

June 20 - 22, 2016

Galicia, Vigo, Spain

Acceptance Rates

IH&MMSec '16 Paper Acceptance Rate 21 of 61 submissions, 34%;

Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Li WWang HChen Y(2024)From Cover to Immucover: Adversarial Steganography via Immunized Cover ConstructionIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.332174032:3(1233-1247)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3321740
Xu MLuo XWang JWang H(2023)Color image steganalysis based on quaternion discrete cosine transformElectronic Research Archive10.3934/era.202320931:7(4102-4118)Online publication date: 2023
https://doi.org/10.3934/era.2023209
Agarwal SCho DJung K(2023)Detecting Images in Two-Operator Series Manipulation: A Novel Approach Using Transposed Convolution and Information FusionSymmetry10.3390/sym1510189815:10(1898)Online publication date: 10-Oct-2023
https://doi.org/10.3390/sym15101898
Setiadi DRustad SAndono PShidik G(2023)Digital image steganography survey and investigation (goal, assessment, method, development, and dataset)Signal Processing10.1016/j.sigpro.2022.108908206:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.sigpro.2022.108908
Agarwal SJung K(2023)Image operator forensics and sequence estimation using robust deep neural networkMultimedia Tools and Applications10.1007/s11042-023-17389-083:16(47431-47454)Online publication date: 27-Oct-2023
https://doi.org/10.1007/s11042-023-17389-0
Cho SAgarwal SKoh SJung K(2022)Image Forensics Using Non-Reducing Convolutional Neural Network for Consecutive Dual OperatorsApplied Sciences10.3390/app1214715212:14(7152)Online publication date: 15-Jul-2022
https://doi.org/10.3390/app12147152
Qin XLi BTan STang WHuang J(2022)Gradually Enhanced Adversarial Perturbations on Color Pixel Vectors for Image SteganographyIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2022.314840632:8(5110-5123)Online publication date: Aug-2022
https://doi.org/10.1109/TCSVT.2022.3148406
Chen MHe PLiu J(2022)HLTD-CSAJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10364689:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.jvcir.2022.103646
Xu JYang JMa YQu KKang Y(2022)Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropyApplied Intelligence10.1007/s10489-021-02923-052:8(9388-9405)Online publication date: 5-Jan-2022
https://doi.org/10.1007/s10489-021-02923-0
Amrutha EArivazhagan SJebarani W(2022)Novel color image steganalysis method based on RGB channel empirical modes to expose stego images with diverse payloadsPattern Analysis and Applications10.1007/s10044-022-01102-226:1(239-253)Online publication date: 9-Sep-2022
https://doi.org/10.1007/s10044-022-01102-2
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