Improving GFR Steganalysis Features by Using Gabor Symmetry and Weighted Histograms

Author:

Xia Chao1,Guan Qingxiao1,Zhao Xianfeng1,Xu Zhoujun2,Ma Yi2

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Beijing Information Technology Institute, Beijing, China

Funder

National Key Technology R&D Program

NSFC

Publisher

ACM

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1. Vaccine for digital images against steganography;Scientific Reports;2024-09-12

2. Steganalysis of JPEG Images based on 2D-Gabor Filters and Feature Dimensionality Reduction;2022 3rd Information Technology To Enhance e-learning and Other Application (IT-ELA);2022-12-27

3. Steganalysis for Small-Scale Training Image Pairs with Cover-Stego Feature Difference Model;2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2022-12

4. Detection of Image Steganography Using Deep Learning and Ensemble Classifiers;Electronics;2022-05-13

5. Arbitrary-Sized JPEG Steganalysis Based on Fully Convolutional Network;Digital Forensics and Watermarking;2022

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