Content-Aware Robust JPEG Steganography for Lossy Channels Using LPCNet
Author:
Affiliation:
1. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
2. China Electronics Thechnology Cyber Security Company, Ltd., Beijing, China
Funder
National Natural Science Foundation of China
National Key Technology Research and Development Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/9686799/09931459.pdf?arnumber=9931459
Reference29 articles.
1. Zernike Moment-Based Spatial Image Steganography Resisting Scaling Attack and Statistic Detection
2. A JPEG-Compression Resistant Adaptive Steganography Based on Relative Relationship between DCT Coefficients
3. Joint JPEG compression and detection resistant performance enhancement for adaptive steganography using feature regions selection
4. Dither modulation based adaptive steganography resisting jpeg compression and statistic detection
5. Improving the Robustness of Adaptive Steganographic Algorithms Based on Transport Channel Matching
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