期刊文献+

基于高阶统计量双相干理论的图像篡改识别算法 被引量:2

Blind recognition technology of image tampering based on higher-order statistics biocoherent theory the research
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摘要 随着图像处理技术的快速地发展和广泛地应用,图像篡改变得越来越容易和普及。恶意篡改的图像会对新闻、司法等领域造成极大的负面影响。对基于高阶统计量双相干理论的图像篡改检测方法进行了深入研究,论述了该方法的原理,并应用该方法进行了大量的分类真假图像对照实验,分析了该方法的适用条件和局限性,实验结果表明,该方法的识别准确率与拼接边缘灰度的差异有关。 With the rapid development and wide application of digital image processing,images become more and more easy and wide to be tampered.The abuse of tampered images often appear in domains of news and judicial and did great harm.The higher order statistics biocoherent detecting method is studied thoroughly.A large number of experiments are done.The condition and limitations of the using of this method is analyzed.The experimental results show that the accuracy of the identification has a direct bearing of the differences of the gray value on the edge.
出处 《光学技术》 CAS CSCD 北大核心 2011年第3期351-356,共6页 Optical Technique
基金 "光电成像技术与系统"教育部重点实验室开发基金资助项目
关键词 盲识别 高阶统计量 图像篡改 双相干 blind recognition higher-order statistics image tampering biocoherent
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参考文献7

  • 1Farid H. Digital doctoring: How to tell the real from the fake [J]. Significance, 2006a, 3(4), 162 166.
  • 2Farid H, Lyu S. Higher-order wavelet statistics and their application to digital forensics[C]. IEEE Workshop on Statistical Analysis in Computer Vision, Madison, Wisconsin, 2003: 1-8.
  • 3Farid H Detecting digital forgeries using Bispectral analysis [R]. MIT, MIT AI Memo, AIM-1657, 1999.
  • 4Ng T T, Chang S F. Blind image splicing and photomontage detection using higher order statistics[R]. ADVENT Technical Report, #201- 2004-1, Columbia University, http://www, ee. columbia, edu/dvmm/, Jan 2004.
  • 5Ng T T, Chang S F, A model for image splicing[R]. ADVENT Technical Report, # 207-2004- 1, Columbia University, http:// www. ee. columbia, edu/dvmm/, Jan 2004,.
  • 6王波,孙璐璐,孔祥维,尤新刚.图像伪造中模糊操作的异常色调率取证技术[J].电子学报,2006,34(B12):2451-2454. 被引量:39
  • 7Ng T T, Chang S F. A data set of authentic and spliced image blocks columbia university[R]. New York, ADVENT Technical Report,#203 2004 -3, 2004.

二级参考文献8

  • 1Lyu Siwei. Natural Image Statistics for Digital Image Forensics[ D]. USA : Department of Computer Science, Dartmouth College, 2005.
  • 2Hany Farid. Creating and Detecting Doctored and Virtual Images: Implications to the Child Pornography Prevention Act[R]. USA: Department of Computer Science, Dartmouth College, 2004.
  • 3Alin C. Popescu, Hany Farid. Statistical tools for digital forensics[ A]. 6th International Workshop on Information Hiding,LNCS vol. 3200 [ C ]. New York : Springer-Verlag, Berlin-Heidelberg ,2004.128 - 147.
  • 4Alin C Popescu, Hany Farid. Exposing Digital Forensics by Detecting Duplicated Image Regions [ R ]. USA: Department of Computer Science, Dartmouth College, 2004.
  • 5Tian-Tsong NG, Shih-Fu Chang. Blind Detection of Photomonrage Using Higher Order Statistics[ DB/OL]. http://www, ee.columbia, edu/dvmm/, Jan, 2004.
  • 6Tian-Tsong NG, Shih-Fu Chang. A model for image splicing[ A ]. IEEE Conference Proceedings on Image Processing[ C ].New York. IEEE Press, 2004.1169 - 1172.
  • 7Fridrich J, Soukal D, Lukas J. Detection of Copy-move Forgery in Digital Images [ DB/OL ]. http://www, ws. binghamton,edu/fridrich/publications, html, 2004.
  • 8刘文锋.基于图像连续性的数字图像取证技术研究[D].大连:大连理工大学,2005.

共引文献38

同被引文献20

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  • 2刘恒冰,韩世勤,刘晶.基于新阈值函数及最优尺度的小波去噪研究[J].计算机工程与应用,2007,43(24):72-74. 被引量:20
  • 3Zhengxian Zhou, Songlin Zhuang. A lateral locating method for optical fiber distributed intrusion sensing system[J]. Opt Commun, 2014, 333(15): 1-5.
  • 4Hwang-Ki Min, Chung-Yeo Lee, Jong-Seok Lee, et al.. Abnormal signal detection in gas pipes using neural networks[C]. Proceeding of 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007: 2503-2508.
  • 5Xiaoning Jia, HangYang, Siliang Ma, et al.. Quaternion higher-order spectra and their invariants for color image recognition[J]. Optics and Lasers in Engineering, 2014, 57: 28-39.
  • 6B Liang, S D Iwnicki, Y Zhao. Application of power spectrum, cepstrum, higher order spectrum and neural network analyses for induction motor fault diagnosis [J]. Mechanical Systems and Signal Processing, 2013, 39(1-2): 342-360.
  • 7Kuang Chua Chuaa, Vinod Chandran, U Rajendra Acharyaa, et al.. Application of higher order statistics/spectra in biomedical signals [J]. Medical Engineering & Physics, 2010, 32(7): 679-689.
  • 8H M A1-Angari, A V Sahakian. Use of sample entropy approach to study heart rate variability in obstructive sleep apnea syndrome[J]. IEEE Transactions on Biomedical Engineering, 2007, 54(10): 1900-1904.
  • 9Bubathi Muruganatham, M A Sanjith, B Krishnakumar, et al.. Roller element bearing fault diagnosis using singular spectrum analysis [J]. Mechanical Systems and Signal Processing, 2013, 35(1-2): 150-166.
  • 10M Claudio, S Rocco. Singular spectrum analysis and forecasting of failure time series[J]. Reliability Engineering and System Safety, 2013, 114: 126-136.

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