Performance analysis of Pseudo-Random Sequence in digital watermarking

被引:0
|
作者
Kim, TH [1 ]
Kim, JJ [1 ]
Kim, ES [1 ]
机构
[1] Kwangwoon Univ, Sch Elect Engn, Natl Res Lab 3D Media, Nowon Gu, Seoul 139701, South Korea
来源
MATHEMATICS OF DATA/IMAGE CODING, COMPRESSION, AND ENCRYPTION IV, WITH APPLICATIONS | 2001年 / 4475卷
关键词
digital watermarking; Pseudo Random Sequence; embedding and extraction process;
D O I
10.1117/12.449589
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this paper, comparative analysis on the characteristics of the Pseudo Random Sequence(PRS) and the Normal Random Sequence(NRS) which are used as a watermark for copyright protection and authentication about digital media in the conventional digital watermarking systems. From the analysis, it is found that in case of the NRS, the detection of the watermark might be difficult from many crosscorrelation peak values resulted from other NRS codes because of the non-uniform distribution of 1 and 0 in those codes. However, for the case of the PRS, since it has the uniform distribution of the random number in the generated codes, there exists no crosscorrelation peaks. So the PRS is analyzed to have the robustness against possible attacks such as JPEG image compression and Gaussian noise compared with the case of the NRS. Therefore, in this paper, proving that PRS code become more robust watermark to attack by various image processing such as JPEG compression, Gaussian noise addition, etc by computer simulation.
引用
收藏
页码:259 / 266
页数:8
相关论文
共 50 条
  • [41] A pseudo-random pixel rearrangement algorithm based on gaussian integers for image watermarking
    Koval, Aleksey
    Shih, Frank Y.
    Verkhovsky, Boris S.
    Journal of Information Hiding and Multimedia Signal Processing, 2011, 2 (01): : 60 - 70
  • [42] Chaotic block iterating method for pseudo-random sequence generator
    CHEN Shuai Physics Department
    The Journal of China Universities of Posts and Telecommunications, 2007, (01) : 45 - 48
  • [43] A Novel Method to Generate Pseudo-Random Sequence based on GAN
    Ji, Pujun
    Ma, Hongbin
    Ma, Qitao
    Chen, Xuguang
    Journal of Network Intelligence, 2022, 7 (01): : 222 - 230
  • [44] Amplitude margin analysis in high density disk recording using a pseudo-random sequence
    Yeh, NH
    Wachenschwanz, D
    IEEE TRANSACTIONS ON MAGNETICS, 1997, 33 (05) : 2962 - 2964
  • [45] A MICROCOMPUTER-BASED STIMULATOR AND AVERAGER FOR PSEUDO-RANDOM BINARY SEQUENCE-ANALYSIS
    FRASER, PJ
    JOURNAL OF PHYSIOLOGY-LONDON, 1982, 322 (JAN): : P2 - P3
  • [46] Mathematical analysis and realization of a n sequence pseudo-random multi-frequencies signal
    He, Ji-Shan
    Tong, Tie-Gang
    Liu, Jian-Xin
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2009, 40 (06): : 1666 - 1671
  • [47] EXPERIMENTS WITH DIGITAL COMPUTER SIMULATIONS OF PSEUDO-RANDOM NOISE GENERATORS
    WHITE, RC
    IEEE TRANSACTIONS ON ELECTRONIC COMPUTERS, 1967, EC16 (03): : 355 - +
  • [48] Design of testable digital circuits oriented to pseudo-random testing
    Romankevitch, A.M.
    Grol', V.V.
    Engineering Simulation, 1997, 14 (05): : 749 - 756
  • [49] Performance Estimates of the Pseudo-Random Method for Radar Detection
    Fish, Alexander
    Gurevich, Shamgar
    2014 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2014, : 3102 - 3106
  • [50] THE GENERATION OF PSEUDO-RANDOM NUMBERS ON ELECTRONIC DIGITAL-COMPUTERS
    EDMONDS, AR
    COMPUTER JOURNAL, 1960, 2 (04): : 181 - 185