A Zero-Watermarking Algorithm Based on Scale-Invariant Feature Reconstruction Transform

被引:2
|
作者
Li, Fan [1 ,2 ]
Wang, Zhong-Xun [1 ,2 ]
机构
[1] Yantai Univ, Sch Phys & Elect Informat, Yantai 264005, Peoples R China
[2] Yantai Univ, Shandong Data Open Innovat Applicat Lab Smart Grid, Yantai 264005, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 11期
关键词
zero-watermarking; local feature extraction; chaotic encryption; MEDICAL IMAGES; SCHEME; DCT;
D O I
10.3390/app14114756
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In order to effectively protect and verify the copyright information of multimedia digital works, this paper proposes a zero-watermarking algorithm based on carrier image feature point descriptors. The constructed feature matrix of this algorithm consists of two parts: the feature descriptor vector calculated from scale-invariant feature reconstruction transform (SIFRT) and the multi-radius local binary pattern (MrLBP) descriptor vector. The algorithm performs a standardization, feature decomposition, and redundancy reduction on the traditional keypoint descriptor matrix, combines it with the texture feature matrix, and achieves the dimensional matching of copyright information. The advantage of this algorithm lies in its non-modification of the original data. Compared to computing global features, the local features computed from a subset of key points reduce the amount of attack interference introduced during copyright verification, thereby reducing the number of erroneous pixel values that are introduced. The algorithm introduces a timestamp mechanism when uploading the generated zero-watermarking image to a third-party copyright center, preventing subsequent tampering. Experimental data analysis demonstrates that the algorithm exhibits good discriminability, security, and robustness.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Visual orientation inhomogeneity based scale-invariant feature transform
    Zhong, Sheng-hua
    Liu, Yan
    Chen, Qing-cai
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (13) : 5658 - 5667
  • [22] Zero-Watermarking Algorithm in Transform Domain Based on RGB Channel and Voting Strategy
    Zheng, Qiumei
    Liu, Nan
    Cao, Baoqin
    Wang, Fenghua
    Yang, Yanan
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2020, 16 (06): : 1391 - 1406
  • [23] A video zero-watermarking algorithm based on LPM
    De Li
    Luyan Qiao
    Jongweon Kim
    Multimedia Tools and Applications, 2016, 75 : 13093 - 13106
  • [24] A novel zero-watermarking algorithm using fractional Fourier transform
    Jiang, Zhen-yu
    Lang, Jun
    Shi, Zhen-ding
    INFORMATION TECHNOLOGY, 2015, : 81 - 86
  • [25] A Zero-Watermarking Algorithm Based on Vortex-like Texture Feature Descriptors
    Li, Fan
    Wang, Zhongxun
    ELECTRONICS, 2024, 13 (19)
  • [26] Graph Fourier Transform Based Audio Zero-Watermarking
    Xu, Longting
    Huang, Daiyu
    Zaidi, Syed Faham Ali
    Rauf, Abdul
    Das, Rohan Kumar
    IEEE SIGNAL PROCESSING LETTERS, 2021, 28 : 1943 - 1947
  • [27] A video zero-watermarking algorithm based on LPM
    Li, De
    Qiao, Luyan
    Kim, Jongweon
    MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 75 (21) : 13093 - 13106
  • [28] GRADIENT-BASED MUSICAL FEATURE EXTRACTION BASED ON SCALE-INVARIANT FEATURE TRANSFORM
    Matsui, Tomoko
    Goto, Masataka
    Vert, Jean-Philippe
    Uchiyama, Yuji
    19TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2011), 2011, : 724 - 728
  • [29] Improved Content-Based Watermarking Using Scale-Invariant Feature Points
    Li, Na
    Hancock, Edwin
    Zheng, Xiaoshi
    Han, Lin
    IMAGE ANALYSIS AND PROCESSING - ICIAP 2011, PT I, 2011, 6978 : 636 - 649
  • [30] Image detection scale-invariant feature transform algorithm based on feature matching improves image matching accuracy
    Guo, Shuli
    Han, Lina
    Hao, Xiaoting
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2017, 70 (16) : C10 - C10