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Large-capacity reversible image watermarking based on improved DE

Authors :
Shaozhang Xiao
Xingyuan Zuo
Zhengwei Zhang
Fenfen Li
Source :
Mathematical Biosciences and Engineering, Vol 19, Iss 2, Pp 1108-1127 (2022)
Publication Year :
2022
Publisher :
AIMS Press, 2022.

Abstract

Aiming at solving the problems of bad imperceptibility and low embedding rate of existing algorithms, a novel large-capacity reversible image watermarking based on improved difference expansion (DE) is proposed. Firstly, the smoothness calculation algorithm is used to calculate and sort the smoothness values of the divided image sub-blocks; then, the scrambled watermark is embedded into the sub-blocks with less smoothness after removing the abrupt point by using the generalized difference expansion (GDE); finally, the absolute difference operation is applied to the generated overflow pixels to make their pixel values within a reasonable range for embedding watermark information. Under the premise of ensuring a certain visual quality, multiple watermark embedding can effectively improve the embedding rate. The simulation results show that this algorithm not only realizes blind extraction, but also recovers the original images without loss. At the same time, this algorithm achieves a high embedding rate (the average embedding rate is as high as 77.91 dB) without decreasing the visual quality.

Details

Language :
English
ISSN :
15510018
Volume :
19
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Mathematical Biosciences and Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.8ded18af87fc47279bf0bda3e02f64de
Document Type :
article
Full Text :
https://doi.org/10.3934/mbe.2022051?viewType=HTML