Watermarking Algorithm Based on 3D Wheelbase

doi:10.13438/j.cnki.jdzk.2021.03.005

Abstract

Abstract: In order to obtain watermarking with superior robustness and invisibility, a watermarking algorithm based on 3D wheelbase is proposed. Firstly, the watermark image is encrypted by calculating the encryption technology of ghost imaging, then the 3D wheelbase of the image is defined on the basis of 3D histogram, and the set of all pixel points when the wheelbase is maximum is obtained. Finally, the best point in this set is found as the embedding position of the watermark through particle swarm optimization algorithm. Simulation experiments of robustness and invisibility show the effectiveness of the proposed algorithm.

Key words: computational ghost imaging, three-dimensional wheelbase, particle swarm, image encryption, robustness, invisibility

TANG Han, CHEN Liuyang, LU Rongbo. Watermarking Algorithm Based on 3D Wheelbase[J]. Journal of Jishou University(Natural Sciences Edition), 2021, 42(3): 29-33.

References

[1] 王颖,肖俊,王蕴红.数字水印原理与技术[M].北京:科学出版社,2007:1-18.
[2] ALAM SHAHZAD, AHMAD TANVIR, DOJA M N. A Lossless Digital Watermarking Scheme Based on a New 3D-Hyper Chaotic Map[J]. International Journal of Electronic Business, 2021, 16(1): 88-102.
[3] ZERMI NARIMA, KHALDI AMINE, KAFI REDOUANE, et al. A DWT-SVD Based Robust Digital Watermarking for Medical Image Security[J]. Forensic Science International, 2021, 320: 110691.
[4] XIE Yi, WANG Yulin, MA Maode. Design of a Hybrid Digital Watermarking Algorithm with High Robustness[J]. Journal of Web Engineering (JWE), 2020, 19(5/6): 725-746.
[5] SINGH ROOP, ASHOK ALAKNANDA. An Optimized Robust Watermarking Technique Using CKGSA in Frequency Domain[J]. Journal of Information Security and Applications, 2021, 58(3): 102734.
[6] DEVI B PUSHPA, SINGH KH MANGLEM, ROY SUDIPTA. New Copyright Protection Scheme for Digital Images Based on Visual Cryptography[J]. IETE Journal of Research, 2017, 63(6): 870-880.
[7] 陈留洋,鲁荣波,滕娟.基于喷泉码和人眼视觉系统的扩频数字水印方案[J].吉首大学学报(自然科学版),2016,37(2):33-37.
[8] 黄光亚,曾水玲,张书真,等.基于三维轴距的图像去噪算法[J].电子与信息学报,2015,37(3):552-559.
[9] SUN W B, CHEN H X, TANG H Y, et al. The Research of Unsupervised Change Detection Method Based on the Clustering Characteristic of 3D Histogram[J]. Imaging Science Journal, 2013, 61(2): 134-145.
[10] BROMBERG YARON, KATZ ORI, SILBERBERG YARON. Ghost Imaging with a Single Detector[J]. Physical Review A, 2009, 79(5): 053840.
[11] 朱吉男.基于计算鬼成像的图像加密方法的研究[D].济南:山东大学,2019:11-15.
[12] 欧阳春娟,杨群生,刘昌鑫.基于粒子群优化的DCT域盲水印算法[J].井冈山大学学报(自然科学版),2011,32(2):63-66.
[13] FATEMIZADEH EMAD, MANESHI MONA. A New Watermarking Algorithm Based on Human Visual System for Content Integrity Verification of Region of Interest[J]. Computing and Informatics, 2012, 31(4): 877-899.
[14] FAZLI AMIR REZA, SARBISHEIE GHAZALEH. A High-Security Image Watermarking Scheme Against WOA Attacks Using DS-CDMA and Entropy Criterion[J]. Arabian Journal for Science & Engineering, 2014, 39(6): 4853-4863.
[15] KORUS PAWE, BIAAS JAROSAW, DZIECH ANDRZEJ. A New Approach to High-Capacity Annotation Watermarking Based on Digital Fountain Codes[J]. Multimedia Tools and Applications, 2014, 68(1): 59-77.