A robust logo watermarking technique in divisive normalization transform domain

In this paper, a novel image watermarking scheme has been presented, which is based on Divisive Normalization Transform, Discrete Wavelet Transform and Singular Value Decomposition. Through this paper an attempt has been made to solve the problem of statically and perceptually redundant wavelet coefficients, used during watermarking with the help of divisive normalization transform while maintaining the robustness and imperceptibility. Divisive Normalization Transform is an adaptive nonlinear image illustration in which all linear transform coefficient are divided by a weighted sum of coefficient amplitudes in a generalized neighbourhood. The idea of embedding the watermark image into singular values of divisively normalized coefficients of host image has been exploited. The proposed algorithm is providing the perceptually better-quality watermarked image and at the same time maintaining the robustness of watermarked algorithm. Thus the proposed watermarking algorithm is a semi-blind, image adaptive due to use of divisive normalization transform and suitable for rightful ownership. Various comparative results make the algorithm superior in terms of intentional and non-intentional attacks.