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Study on Universal Steganalysis for BMP Images based on Multi-domain Features

机译：基于多域特征的Bmp图像通用隐写分析研究

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Yan Yana; Liting Li; Jianbin Xue; Hongguo Liu; Qiuyu Zhang;
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年度 2016
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专利

1. Universal Steganalysis Method Based on Multi-domain Features [J] . Yan Yan, Liting Li, Qiuyu Zhang Journal of information and computational science . 2013,第7期

机译：基于多域特征的通用隐写分析方法
2. Joint multi-domain feature learning for image steganalysis based on CNN [J] . Ze Wang, Mingzhi Chen, Yu Yang, EURASIP journal on image and video processing . 2020,第1期

机译：基于CNN的图像隐星分析的联合多域特征学习
3. STEGANALYSIS ON IMAGES BASED ON THE CLASSIFICATION OF IMAGE FEATURE SETS USING SVM CLASSIFIER [J] . S. DEEPA, R. UMARANI International Journal of Computer Science and Engineering . 2016,第8403期

机译：基于支持向量机分类器的图像特征集分类的图像隐写分析
4. Study on Universal Steganalysis for BMP Images based on Multi-domain Features [C] . Yan Yan, Liting Li, Jianbin Xue, International Conference on Mechatronics and Control Engineering . 2013

机译：基于多域特征的BMP图像通用隐渍分析研究
5. Compression aided feature based steganalysis of perturbed quantization steganography in JPEG images. [D] . Thorpe, Christopher. 2007

机译：基于压缩辅助特征的JPEG图像中扰动量化隐写术的隐写分析。
6. Comparative Study of Three Steganographic Methods Using a Chaotic System and Their Universal Steganalysis Based on Three Feature Vectors [O] . Dalia Battikh, Safwan El Assad, Thang Manh Hoang, 2019

机译：基于三个特征向量的混沌系统及其普遍存置的三个隐解方法的比较研究
7. Universal Steganalysis Using Feature Selection Strategy for Higher Order Image Statistics [O] . Sonali S. Ekhande, Prof S. P. Sonavane 2011

机译：使用特征选择策略的通用隐写分析用于高阶图像统计

Study on Universal Steganalysis for BMP Images based on Multi-domain Features

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