Improving GFR Steganalysis Features by Using Gabor Symmetry and Weighted Histograms
Author:
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
Link
https://dl.acm.org/doi/pdf/10.1145/3082031.3083243
Reference16 articles.
1. Steganalysis Features for Content-Adaptive JPEG Steganography
2. Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes
3. Uniform Embedding for Efficient JPEG Steganography
4. Random Projections of Residuals for Digital Image Steganalysis
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