Detecting Digital Image Forgeries Through Weighted Local Entropy

In this paper, we propose a new method that could reveal some traces that were left in the tampered digital images without using watermarking technique. Our method is based on detecting the presence of feather operation, which is particularly useful to create a smooth transition between the selected...

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Bibliographic Details
Published in2007 IEEE International Symposium on Signal Processing and Information Technology pp. 62 - 67
Main Authors Chi Zhang, Hongbin Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
Digital forensics
Digital images
Digital signal processing
digital tampering
Entropy
Feathers
Forgery
Image generation
Information technology
Software tools
Watermarking
Weighted Local Entropy
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ISBN9781424418343
1424418348
ISSN2162-7843
DOI10.1109/ISSPIT.2007.4458021

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Summary:In this paper, we propose a new method that could reveal some traces that were left in the tampered digital images without using watermarking technique. Our method is based on detecting the presence of feather operation, which is particularly useful to create a smooth transition between the selected region and its surroundings. The similarity of pixel neighborhood is used as weight coefficient to modulate local entropy value. The forged region can be determined by the value of weighted local entropy precisely. Results of experiments on tampered images will be given.
ISBN:9781424418343
1424418348
ISSN:2162-7843
DOI:10.1109/ISSPIT.2007.4458021