Exposing image forgery through the detection of contrast enhancement

Xufeng Lin, Chang Tsun Li, Yongjian Hu

Research output: Book chapter/Published conference paperConference paperpeer-review

20 Citations (Scopus)


In this paper, a novel forensic method of exposing cut-and-paste image forgery through detecting contrast enhancement is proposed. We reveal the inter-channel correlation introduced by color image interpolation, and show how a linear or nonlinear contrast enhancement can disturb this natural inter-channel dependency. We then construct a metric to measure these correlations, which are useful in distinguishing the original and contrast enhanced images. The effectiveness of the proposed algorithm is experimentally validated on natural color images captured by commercial cameras. Finally, its robustness against some anti-forensic algorithms is also discussed.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781479923410
Publication statusPublished - 2014
Event2013 20th IEEE International Conference on Image Processing: ICIP 2013 - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 15 Sep 201318 Sep 2013


Conference2013 20th IEEE International Conference on Image Processing
OtherThe International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2013, the twentieth in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.
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