应用科学学报 ›› 2015, Vol. 33 ›› Issue (6): 604-614.doi: 10.3969/j.issn.0255-8297.2015.06.004

• 多媒体信息安全专刊 • 上一篇    下一篇

基于色像差特性的图像篡改检测

陈竺益, 方针   

  1. 上海大学通信与信息工程学院, 上海 200444
  • 收稿日期:2015-06-30 修回日期:2015-09-12 出版日期:2015-11-30 发布日期:2015-11-30
  • 通信作者: 方针,副教授,研究方向:图像处理、数字媒体内容安全,E-mail:zhfang@staff.shu.edu.cn E-mail:zhfang@staff.shu.edu.cn
  • 基金资助:

    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

Detection of Digital Image Forgery Based on Chromatic Aberration

CHEN Zhu-yi, FANG Zhen   

  1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
  • Received:2015-06-30 Revised:2015-09-12 Online:2015-11-30 Published:2015-11-30

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.

关键词: 篡改检测, 色像差, 纵向色差, 锐度

Abstract: 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. Experimental results show that the method is effective for composite images.

Key words: forgery detection, chromatic aberration, longitudinal chromatic aberration, sharpness

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