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基于色像差特性的图像篡改检测 被引量：4

Detection of Digital Image Forgery Based on Chromatic Aberration
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摘要 针对存在色像差的合成图像,提出一种基于纵向色差特性的篡改检测方法.对于图像中深度相似的目标,分别基于局部相位相干性提取3个通道的锐度特征,根据通道间的锐度差异估计纵向色差强度和方向.比较多个目标的纵向色差特性,根据纵向色差分布的不一致检测图像篡改.实验结果表明,该方法能够有效鉴别合成图像的真伪. This paper proposes a forgery detection method using the characteristics of longitudinal chromatic aberration. For image objects located in similar depth, we extract sharpness features in each color channel based on local phase coherence. Strength and the direction of longitudinal chromatic aberration are estimated from the sharpness difference among different channels. Characteristics of longitudinal chromatic aberration for multiple targets is analyzed, and the inconsistency is exploited to identify image forgery. Experi- mental results show that the method is effective for composite images,
作者 陈竺益 方针
机构地区 上海大学通信与信息工程学院
出处 《应用科学学报》 CAS CSCD 北大核心 2015年第6期604-614,共11页 Journal of Applied Sciences
基金 国家自然科学基金(No.61472235) 教育部博士点基金(No.20113108110010) 上海市浦江人才计划基金(No.13PJ1403200) 上海市东方学者专项基金资助
关键词 篡改检测 色像差 纵向色差 锐度 forgery detection, chromatic aberration, longitudinal chromatic aberration,sharpness
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献17

  • 1Chung S W, Kim B K, Song W J. Removing chromatic aberration by digital image processing[J]. Optical Engineering, 2010, 49(6):067002-1-067002-10.
  • 2Johnson M K, Farid H. Exposing digital forgeries through chromatic aberration[C]//Proceedings of the 8th ACM Workshop on Multimedia and Security, 2006:48-55.
  • 3Yerushalmy I, Hel-Or H. Digital image forgery detection based on lens and sensor aberration[J]. International Journal of Computer Vision, 2011, 92(1):71-91.
  • 4Van L T, Emmanuel S, Kankanhalli M S. Identifying source cell phone using chromatic aberration[C]//2007 IEEE International Conference on Multimedia and Expo, 2007:883-886.
  • 5Lim J, Kang J, Ok H. Robust local restoration of space-variant blur image[C]//Electronic Imaging, International Society for Optics and Photonics, 2008:68170S-1-68170S-14.
  • 6Guichard F, Nguyen H P, Tessières R. Extended depth-of-field using sharpness transport across color channels[C]//Electronic Imaging, International Society for Optics and Photonics, 2009:72500N-1-72500N-12.
  • 7Chang J, Kang H, Kang M G. Correction of axial and lateral chromatic aberration with false color filtering[J]. IEEE Transactions on Image Processing, 2013, 22(3):1186-1198.
  • 8Bae S, Durand F. Defocus magnification[C]//Computer Graphics Forum, 2007, 26(3):571- 579.
  • 9Wang X, Xuan B, Peng S. Digital image forgery detection based on the consistency of defocus blur[C]//2008 IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2008:192-195.
  • 10Georgeson M A, Sullivan G D. Contrast constancy:deblurring in human vision by spatial frequency channels[J]. The Journal of Physiology, 1975, 252(3):627-656.

二级参考文献17

  • 1Chandler D M,Hemami S S.VSNR:a wavelet-based visual signal-to-noise ratio for natural images[J].IEEE Transactions on Image Processing,2007,16(9):2284-2298.
  • 2Wang Z,Bovik A C,Sheikh H R,et al.Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612.
  • 3Li C Q,Bovik A C.Content-partitioned structural similarity index for image quality assessment[J].Signal Processing:Image Communication,2010,25:517-526.
  • 4Wang K,Xiao P,Feng X,et al.Image feature detection from phase congruence based on two-dimensional Hilbert transform[J].Pattern Recognition Letters,2011,32(15):2015-2024.
  • 5Kovesi P.Image features from phase congruency[J].Journal of Computer Vision Research,1999,1(3):1-26.
  • 6Wang Z,Shang,X.Spatial pooling strategies for perceptual image quality assessment[C]//Proc IEEE Int Conf Image Process,2006:2945-2948.
  • 7Larson E C,Vu C T,Chandler D M.Can visual fixation patterns improve image fidelity assessment?[C]//Proc IEEE Int Conf Image Process,2008:2572-2575.
  • 8Wang Z,Li Q.Information content weighting for perceptual image quality assessment[J].IEEE Transactions on Image Processing,2011,20(5):1185-1198.
  • 9Zhang L,Zhang L,Mou X.FSIM:a feature similarity index for image quality assessment[J].IEEE Transactions on Image Processing,2011,20(8):2378-2386.
  • 10Liu Z,Laganiere R.Phase congruence measurement for image similarity assessment[J].Pattern Recognition Letters,2007,28(1):166-172.

共引文献13

同被引文献22

引证文献4

二级引证文献16

应用科学学报
2015年 第6期

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