Robust steganography with boundary-preserving overflow alleviation and adaptive error correction

With the rapid evolution of the Internet, the vast amount of data has created opportunities for fostering the development of steganographic techniques. However, traditional steganography faces challenges in social networks due to lossy operations such as spatial truncation during JPEG recompression,...

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Veröffentlicht in:	Expert systems with applications Jg. 281; S. 127598
Hauptverfasser:	Cheng, Yu, Luo, Zhenlin, Yin, Zhaoxia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2025
Schlagworte:	Adaptive error correction Dither modulation Overflow Robust steganography Social networks Adaptive error correction Robust steganography Social networks Dither modulation Overflow
ISSN:	0957-4174
Online-Zugang:	Volltext
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