Robust Watermarking in Multiresolution Walsh-Hadamard Transform

TL;DR

This paper introduces a multiresolution Walsh-Hadamard Transform-based watermarking scheme that enhances robustness and imperceptibility for copyright protection in images, utilizing singular value modification across multiple resolution levels.

Contribution

It proposes a novel multiresolution Walsh-Hadamard Transform combined with singular value decomposition for robust image watermarking, improving resilience against various attacks.

Findings

Enhanced visual imperceptibility of watermarks

Increased robustness against intentional and unintentional attacks

Effective watermark extraction from distorted images

Abstract

In this paper, a newer version of Walsh-Hadamard Transform namely multiresolution Walsh-Hadamard Transform (MR-WHT) is proposed for images. Further, a robust watermarking scheme is proposed for copyright protection using MRWHT and singular value decomposition. The core idea of the proposed scheme is to decompose an image using MR-WHT and then middle singular values of high frequency sub-band at the coarsest and the finest level are modified with the singular values of the watermark. Finally, a reliable watermark extraction scheme is developed for the extraction of the watermark from the distorted image. The experimental results show better visual imperceptibility and resiliency of the proposed scheme against intentional or un-intentional variety of attacks.