Comparative Performance Analysis of Digital Image Watermarking Scheme in DWT and DWT-FWHT-SVD Domains

Robust, secured, high embedding capacity and invisible digital image watermarking techniques are key requirements in the world of information security. Many existing image watermarking techniques fail to achieve perceptual quality and robustness simultaneously under high payload scenario promising strong security, because these requirements conflict each other. This paper presents non-blind digital image watermarking technique and its comparative performance analysis in discrete wavelet transform (DWT) and DWT-Fast Walse Hadamard transform-Singular value decomposition (DWT-FWHT-SVD) domains. The simple, symmetric and orthogonal 'Haar' wavelet is used for DWT decomposition and Fibonacci-Lucas transform along with affine transforms are used to implement embedding security. The experimental results show better performance in DWT-FWHT-SVD domain than DWT domain for candidate images of 512x512 size namely Lena, peppers, baboon, lake and plane and grey scale watermark of 256x256 sizes. In DWT-FWHT-SVD domain, better perceptual quality is achieved with Lena image giving peak signal to noise ratio(PSNR)=75.8446, peppers image with PSNR=82.8343, baboon image with PSNR=94.0575, lake image with PSNR=86.9526 and plane with PSNR=89.9170 with significant quality of extracted watermark. For all test images with varying scale factor in the range of K=0.25 to 0.55, PSNR and normalized corelation(NC) values are better with compared to DWT domain. As DWT-FWHT-SVD based results found superior, we further focused on DWT-FWHT-SVD domain and demonstrated that our technique is robust against 19 various noise addition and filtering attacks. The DWT-FWHT-SVD domain technique is also found superior than existing redundant-DWT-SVD based method against 12 different attacks.