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Lightweight Laplacian Steganography: A Mathematical Framework for Edge-based Privacy Preservation | Synapse
March 3, 2026
Lightweight Laplacian Steganography: A Mathematical Framework for Edge-based Privacy Preservation
RG
R. Gurunath
DS
Debabrata Samanta
BE
Blerta Prevalla Etemi
Key Points
Laplacian steganography enhances privacy preservation by embedding data within edges, promoting security.
Key evidence shows a substantial reduction in detectable alterations—95% effectiveness against traditional methods.
Analysis of edge-based techniques emphasizes their mathematical framework for improved steganographic performance.
This approach may enable broader applications in data security; further practical testing is recommended.
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Gurunath et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75ae7c6e9836116a215ae
https://doi.org/https://doi.org/10.1007/s42979-026-04740-z
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