Self-recovery of unauthentic images using a new digital watermarking approach in the wavelet domain

This paper proposes a new watermarking-based self-recovery system for unauthentic images in the Wavelet domain. The LL wavelet sub-band of the second wavelet decomposition of the original image is used as a recovery watermark and is embedded in the horizontal, vertical and diagonal sub-bands of the first wavelet decomposition using a quantization approach. The algorithm obtains good image quality with mean PSNR values for 100 watermarked images above 37 dB. The method protects the entire image and is able to reliably extract the recovery image, even after the watermarked image has been tampered with to a degree of 25%.