Blind image watermarking method based on linear canonical wavelet transform and QR decomposition. Issue 10 (1st October 2016)

• Record Type: Journal Article
• Authors: Guo, Yong; Li, Bing‐Zhao
• Is Part Of: IET image processing. Volume 10:Issue 10(2016)
• Page Start: 773
• Page End: 786
• Publication Date: 2016-10-01
• Subjects: image watermarking -- wavelet transforms; blind image watermarking -- linear canonical wavelet transform -- QR decomposition -- generalised convolution theorem -- linear canonical transform -- multi‐resolution analysis -- image representations -- peak signal‐to‐noise ratio -- geometry attacks -- image processing attacks; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2015.0818
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : Inspired by the fact that wavelet transform can be written as a classical convolution form, a new linear canonical wavelet transform (LCWT) based on generalised convolution theorem associated with linear canonical transform (LCT) is proposed recently. The LCWT not only inherits the advantages of multi‐resolution analysis of wavelet transform (WT), but also has the capability of image representations in the LCT domain. Based on these good properties, the authors propose a novel image watermarking method using LCWT and QR decomposition. Compared with the existing image watermarking methods based on discrete WT or QR, this novel image watermarking method provides more flexibility in the image watermarking. Peak signal‐to‐noise ratio, normalised cross and structural similarity index measure are used to verify the advantages of the proposed method in simulation experiments. The experiment results show that the proposed method is not only feasible, but also robust to some geometry attacks and image processing attacks.