A novel robust logo watermarking scheme using fractional M-band wavelet transform

Abstract

Digital watermarking, means of hiding/inserting a message, which can be an image, audio, video or text within the digital media. This hidden/inserting message can be later being extracted or detected for a variety of purposes. In this paper, a novel multi resolution logo watermarking scheme using fractional M band wavelet transform (Fr M band WT) is proposed. The watermark is embedded in the multiresolution Fr M band WT coefficients of low frequency bands of the host image using singular value decomposition (SVD). A multi resolution nature of Fr M band WT is exploited in the process of edge detection. Experi mental results of the proposed logo watermarking scheme are compared with the previously available water marking algorithms, fractional Fourier transform (FrFT), fractional wavelet transform (FrWT). Further, the proposed watermark extraction scheme is also tested on different attacks. The results after being investigated the proposed watermarking scheme shows a significant improvement as compared to other existing methods.

Performance Analysis of Fractional Redundant Wavelet Transform for Watermarking Scheme

“…Diverse signal processing or geometric operations can modify the digital data, some of which have been used in the proposed scheme to test for the robustness of the watermarking technique. Lastly a comparative analysis is made between the proposed method and the Fractional Wavelet Transform (Fr-DWT) [21]- [23] technique on the basis of GMSD [24]. Many researchers and analysts have proposed and discussed various advancements in the watermarking system, some of which have been reviewed while proposing the novel proposed technique.…”

“…In 2014, H. Singh et al [22] discussed a multi-resolution logo watermarking method by means of fractional M-band wavelet transform (Fr-M-band-WT) and SVD. H. Singh et al [23] in 2014 proposed a logo watermarking method based on fractional M-band dual-tree complex wavelet transform (Fr-M-band-DT-CWT). In 2013, G. Bhatnagar et al [9] provided a watermarking technique based on the hybridization of redundant fractional wavelet transform, reversible extension transform and singular value decomposition (SVD) in which two watermarks are embedded.…”