Performances Improvement of Chaos Based Robust Digital Image Watermarking using Advanced Techniques
This paper presents a research study leading to a robust chaos based scheme for digital image watermarking applications in the transform domain. The steps undergone include combining, in a repeating process, three performant conventional mathematical transforms of Direct Cosine Transform (DCT) Discrete Wavelet Transform (DWT) and variants with three different state of the art advanced techniques namely Discrete Curvelet Transform (DCuT) Discrete Radon Transform (DRaT) and Finite Ridgelet Transform (FRT) Results have shown a neat improvements in watermarking imperceptibility and robustness each time especially after including Singular Value Decomposition (SVD) which has enhanced embedding capability as well. Methods evaluation has followed an exhaustive series of performed tests that applied a range of evaluation metrics for imperceptibility. In addition, Robustness of the final scheme has also been confirmed by applying a variety of attacks on the resulting images. Finally, security aspect has also been improved after a comparative implementations of popular four chaotic models namely Arnold Cat Map (ACM) Lorenz Cat Map (LCM) Rossler Cat Map (RCM) and Genesio Tesi Cat Map (GTCM) respectively producing secure images encryption levels. All Implementations have been validated using a sufficent number of color image from a large dataset.
2019 6th International Conference on Image and Signal Processing and their Applications (ISPA)