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A DWT-DCT Based Passive Forensics Method for Copy-Move Attacks

Authors: Xiaofeng Wang; Xiaoni Zhang; Zhen Li; Shangping Wang;

A DWT-DCT Based Passive Forensics Method for Copy-Move Attacks

Abstract

A passive forensics method for detecting copy-move attacks was proposed. In the proposed method, tested image was segmented into non-overlapping blocks, DCT and DWT are applied to each image block to extract features, and then compare the statistics of each image block to detection replication regions. Our method was robust to compression up to JPEG quality level 20 and against additive noise. The time complexity of our approach for sorting is O(k 1g k).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
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