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Matrix Embedding Based Multiple Histograms Modification for Efficient Reversible Data Hiding

delete2024-01-01
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PRE
AI
X
Xiang Li
M
Mengyao Xiao
X
Xiaolong Li *
S
Shijun Xiang
赵耀 (Yao Zhao)
DOI:10.1109/LSP.2024.3455995delete
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Abstract

Abstract

En 中文
Recently, matrix embedding (ME), a well-known steganographic technique, has been employed in reversible data hiding (RDH) for the first time, improving the performance of single histogram modification (SHM) methods. In this letter, the ME-based RDH strategy is extended from SHM to the more effective multiple histograms modification (MHM) to further improve the reversible embedding performance. The capacity-distortion model is first established in the novel scenario. Then, some theoretical results for payload partition and expansion-bins-determination are given. Finally, based on the derived theoretical investigations, an efficient RDH method with low computational complexity is proposed. Experimental results show that the proposed method can achieve better visual quality compared to some state-of-the-art methods.
Keywords:
Histograms
Distortion
Steganography
Visualization
Payloads
Optimization
Information science
Reversible data hiding
matrix embedding
multiple histograms modification
general distortion

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

B
Beijing Jiaotong University
Scholars:
2.2W
Papers: 1.7W
Citations: 1.2W
J
jinan university
Scholars:
4.3W
Papers: 2.6W
Citations: 38