ACM SIGGRAPH 2003 Papers
Exposing digital forgeries by detecting inconsistencies in lighting
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Exposing digital forgeries in scientific images
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Exposing digital forgeries through chromatic aberration
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Differentiation of discrete multidimensional signals
IEEE Transactions on Image Processing
A bibliography on blind methods for identifying image forgery
Image Communication
Region duplication detection using image feature matching
IEEE Transactions on Information Forensics and Security
Digital image forensics: a booklet for beginners
Multimedia Tools and Applications
Blind copy-paste detection using improved SIFT ring descriptor
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Duplication forgery detection using improved DAISY descriptor
Expert Systems with Applications: An International Journal
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We present an efficient technique to detect portions of a digital image that have been modified using textural information from another region of the image, for example Photoshop's healing brush or Poisson cloning. Common uses of these tools include removing damaged areas, blemishes and sometimes larger objects from a scene. We show that the methods are efficient and accurately identify the use of a large class of image manipulation techniques for uncompressed TIFF images and high quality compressed images. When applied to images that have higher compression levels accurate results are also obtained if the region that has been duplicated is sufficiently large.