A NOVEL RRW FRAMEWORK TO RESIST ACCIDENTAL ATTACKS

Farooq Shaik Mohammad, M Ramana Reddy

Abstract: Robust reversible watermarking (RRW) methods are popular in multimedia for protecting copyright, while preserving intactness of host images and providing robustness against unintentional attacks. Robust reversible watermarking (RRW) is used to protect the copyrights and providing robustness against unintentional attacks. The past histogram rotation-based methods suffer from extremely poor invisibility for watermarked images and limited robustness in extracting watermarks from the watermarked images destroyed by unintentional attacks. This paper proposes a wavelet-domain statistical quantity histogram shifting and clustering (WSQH-SC) method and Enhanced pixel-wise masking (EPWM). This method embeds a new watermark image and extraction procedures by histogram shifting and clustering, which are important for improving robustness and reducing run-time complexity. It is possible reversibility and invisibility. By using WSQH-SC methods reversibility, invisibility of watermarks can be achieved. The experimental results show the comprehensive performance in terms of reversibility, robustness, invisibility, capacity and run-time complexity widely applicable to different kinds of images.

Keywords: Integer wavelet transform, k-means clustering, masking, robust reversible watermarking (RRW)

DOI: https://doi.org/10.15623/ijret.2013.0212044