Reversible data hiding method for multi-histogram point selection based on improved crisscross optimization algorithm

Traditional prediction error expansion (PEE)-based reversible data hiding (RDH) schemes focus on generating a sharp prediction error histogram (PEH) in order to increase embedding performance, but they neglect the influence of local complexity on embedding performance. When the PEH is partitioned in...

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Veröffentlicht in:	Information sciences Jg. 549; S. 13 - 33
Hauptverfasser:	Weng, Shaowei, Tan, Wenlong, Ou, Bo, Pan, Jeng-Shyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.03.2021
Schlagworte:	Improved crisscross optimization algorithm K-means clustering algorithm Multi-choice knapsack problem Multiple prediction error histograms Reversible data hiding Improved crisscross optimization algorithm Reversible data hiding Multiple prediction error histograms K-means clustering algorithm Multi-choice knapsack problem
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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