Detecting tampering in audio-visual content using QIM watermarking
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.
watermarking quantization index modulation video tampering detection