A ROBUST CHAOTICIMAGE WATERMARKING TECHNIQUEBASEDON HVSAND DIFFERENTIALAFFINEMOTION ESTIMATION
SP Lab · 2007
Thispaper deals withtheinsertion ofachaotic signature inanimagebyexploiting theanalogy presented bythe wavelets transform andthehumanvisual system (HVS) model, tomodulate andadapt thesignature according to local characteristic's oftheimage. Theblind detection process consists oncomputing thecorrelation between themarkedDWT coefficients andthewatermarking sequence. Inorder toface theproblem ofthegeometrical de-synchronization, a differential technique ofmotion estimation isemployed tocompensate thepossible geometrical deformations undergone bythewatermarked image. Themethodhasbeenproved toberobust to various image processing suchascompression, filtering andnoise addition andvarious geometrical attacks such astranslation, rotation, scaling, cropping andresizing.