Detecting tampering in audio-visual content using QIM watermarking
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文摘

We presented an approach to protect image and videos against digital forgery.

We propose a technique to restore lost or tampered information in visual signals.

The restoration is done using a proposed inverse halftoning technique.

The halftone of signal is embedded in the signal itself using a QIM modification.

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