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Novel Blind Steganalysis for JPEG Images
2009A new blind steganalytic scheme is proposed in this paper for JPEG images. Based on the DCT domain and the decompressed spatial domain, nine statistical models are constructed for a JPEG image. By using the center of mass (COM) of histogram characteristic function (HCF), we calculate the energy distribution for each statistical model in the frequency ...
Zhuo Li +4 more
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Deep Learning Hierarchical Representations for Image Steganalysis
IEEE Transactions on Information Forensics and Security, 2017Jian Ye, J. Ni, Yang Yi
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FPFnet: Image steganalysis model based on adaptive residual extraction and feature pyramid fusion
Multimedia tools and applications, 2023Jingtai Li +3 more
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Image Classification for More Reliable Steganalysis
2010We propose a simple method for classifying images to increase the reliability of steganalysis techniques in digital images. RS Steganalysis Method(RSM), Sample Pair Method(SPM), and Least Square Method(LSM) are the most reliable steganalysis methods in the literature for LSB replacement steganography on digital images in spatial domain.
R. Shreelekshmi +2 more
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Image steganalysis using deep learning models
Multimedia tools and applications, 2023A. Kuznetsov +4 more
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Steganalysis in Multiple Sources of Cover Images
2009 Ninth International Conference on Hybrid Intelligent Systems, 200945 dimensional feature vectors were extracted from DCT and spatial domains of images to defeat steganographic schemes in this paper. Compared with commonly used steganalytic algorithms, the presented method offers much better performances in double JPEG compressed covers and their stegos.
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Image Steganalysis based on Pretrained Convolutional Neural Networks
International Colloquium on Signal Processing and Its Applications, 2022Ismail Taha Ahmed +2 more
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Journal of Visual Communication and Image Representation, 2022
Tong Fu +4 more
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Tong Fu +4 more
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Image steganalysis based on attention augmented convolution
Multimedia tools and applications, 2022Siyuan Huang +4 more
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Image steganalysis with multi-scale residual network
Multimedia tools and applications, 2022Hao Chen, Q. Han, Qiong Li, Xiaojun Tong
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