Discrete stationary wavelet transform and SVD-based digital image watermarking for improved security. (28th July 2021)

• Record Type: Journal Article
• Authors: Chellappan, Rajakumar; Satheeskumaran, S.; Venkatesan, C.; Saravanan, S.
• Is Part Of: International journal of computational science and engineering. Volume 24:Number 4(2021)
• Page Start: 354
• Page End: 362
• Publication Date: 2021-07-28
• Subjects: digital image watermarking -- discrete stationary wavelet transforms -- wavelet decomposition -- singular value decomposition -- SVD -- peak signal to noise ratio -- PSNR; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

Digital image watermarking plays an important role in digital content protection and security related applications. Embedding watermark is helpful to identify the copyright of an image or ownership of the digital multimedia content. Both the grey images and colour images are used in digital image watermarking. In this work, discrete stationary wavelet transform and singular value decomposition (SVD) are used to embed watermark into an image. One colour image and one watermark image are considered here for watermarking. Three level wavelet decomposition and SVD are applied and watermarked image is tested under various attacks such as noise attacks, filtering attacks and geometric transformations. The proposed work exhibits good robustness against these attacks and obtained simulation results show that proposed approach is better than the existing methods in terms of bit error rate, normalised cross correlation coefficient and peak signal to noise ratio.